Nothing Special   »   [go: up one dir, main page]

CN110908288A - Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function - Google Patents

Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function Download PDF

Info

Publication number
CN110908288A
CN110908288A CN201911364832.0A CN201911364832A CN110908288A CN 110908288 A CN110908288 A CN 110908288A CN 201911364832 A CN201911364832 A CN 201911364832A CN 110908288 A CN110908288 A CN 110908288A
Authority
CN
China
Prior art keywords
ground speed
aircraft
disturbance
angle
lyapunov function
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911364832.0A
Other languages
Chinese (zh)
Inventor
苏子康
李春涛
解明扬
李雪兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Aeronautics and Astronautics
Original Assignee
Nanjing University of Aeronautics and Astronautics
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Aeronautics and Astronautics filed Critical Nanjing University of Aeronautics and Astronautics
Priority to CN201911364832.0A priority Critical patent/CN110908288A/en
Publication of CN110908288A publication Critical patent/CN110908288A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

本发明公开了一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,该方法主要包括:首先,建立飞机地速非线性子系统动态模型,并将其处理为仿射非线性形式;在此基础上,针对地速仿射非线性模型,设计有限时间高阶滑模干扰观测器,以估计系统参数摄动引起的不确定扰动;进而,以估计获得的未知扰动作为前馈补偿,设计地速子系统非线性受约束抗扰动跟踪控制器,以实现在给定地速约束条件下对期望地速的准确跟踪。本发明可用于飞机空中加油对接、空基回收对接、超低空空投、复杂地形避障等领域的地速受约束精确控制,能够有效提高飞机地速飞行控制精度和飞行安全性。

Figure 201911364832

The invention discloses a ground speed constraint anti-disturbance control method for an unmanned aerial vehicle based on an obstacle Lyapunov function. The method mainly includes: first, establishing a dynamic model of a nonlinear subsystem of the ground speed of the aircraft, and processing it into an affine nonlinear form ; On this basis, for the ground velocity affine nonlinear model, a finite-time high-order sliding-mode disturbance observer is designed to estimate the uncertain disturbance caused by the perturbation of system parameters; then, the estimated unknown disturbance is used as feedforward compensation , the nonlinear constrained anti-disturbance tracking controller of the ground speed subsystem is designed to achieve accurate tracking of the desired ground speed under the given ground speed constraints. The invention can be used for ground speed constrained and precise control in the fields of aircraft aerial refueling and docking, space-based recovery and docking, ultra-low-altitude airdrop, and obstacle avoidance in complex terrain, and can effectively improve the aircraft ground speed flight control accuracy and flight safety.

Figure 201911364832

Description

一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法A ground-speed-constrained anti-disturbance control method for unmanned aerial vehicles based on obstacle Lyapunov function

技术领域technical field

本发明涉及一种基于障碍Lyapunov(李雅普诺夫)函数的无人机地速约束抗扰控制方法,属于无人机导航制导与控制技术领域。The invention relates to a ground speed restraint anti-disturbance control method for an unmanned aerial vehicle based on an obstacle Lyapunov function, and belongs to the technical field of unmanned aerial vehicle navigation, guidance and control.

背景技术Background technique

无人机以其低损耗、低成本、零伤亡、可重复使用和高机动性等优点,已在许多领域都得到广泛应用和发展。飞机地速是十分重要的运动参数,它是无人机稳定和航迹控制的前提。固定翼无人机一般都有按照设计好的巡航速度,在一定的海拔高度上飞行,但是当执行复杂任务时,常常须改变飞行速度。随着无人机的迅速发展,许多应用场景对无人机地速控制提出了新的更高要求,无人机自动跟踪移动目标、自动编队飞行、自动空中加油、自动空中回收、自动着舰和超低空空投等。UAVs have been widely used and developed in many fields due to their advantages of low loss, low cost, zero casualties, reusability and high maneuverability. Aircraft ground speed is a very important motion parameter, which is the premise of UAV stability and track control. Fixed-wing UAVs generally fly at a certain altitude according to the designed cruise speed, but when performing complex tasks, the flight speed often needs to be changed. With the rapid development of UAVs, many application scenarios have put forward new and higher requirements for UAV ground speed control. UAVs automatically track moving targets, automatic formation flying, automatic aerial refueling, automatic aerial recovery, and automatic landing. and ultra-low-altitude airdrops, etc.

上述特殊的应用场景下,往往对飞机地速控制器不仅具有较高的控制精度,还要求具有出的抗干扰能力和地速受约束控制能力。现有飞机地速控制方法,如PID控制、自适应控制、鲁棒控制、滑膜控制等,鲜有同时从抗干扰性和受约束控制能力角度考虑的。如何同时确保飞机地速控制具有足够的抗干扰能力,同时能够使地速被严格约束控制在期望的范围内,是使其能够适应某些对地速控制有特殊需求任务所必须要解决的问题,可以显著提高固定翼无人机的任务执行能力和飞行安全。In the above-mentioned special application scenarios, the aircraft ground speed controller often not only has high control accuracy, but also requires excellent anti-interference ability and ground speed constrained control ability. Existing aircraft ground speed control methods, such as PID control, adaptive control, robust control, and synovial control, are rarely considered from the perspective of anti-interference and constrained control capability at the same time. How to ensure that the ground speed control of the aircraft has sufficient anti-interference ability at the same time, and at the same time can make the ground speed be strictly constrained and controlled within the expected range, is a problem that must be solved to make it adapt to some tasks with special requirements for ground speed control. , which can significantly improve the mission execution capability and flight safety of fixed-wing UAVs.

发明内容SUMMARY OF THE INVENTION

本发明所要解决的技术问题是:提供一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,在确保地速被严格约束控制在期望范围内的前提现,有效地提高了飞机地速控制器的控制精度和抗干扰能力,可以为提升无人机任务执行能力和飞行安全性提供技术支撑。The technical problem to be solved by the present invention is: to provide a ground speed restraint anti-disturbance control method based on the obstacle Lyapunov function, which can effectively improve the ground speed of the aircraft on the premise of ensuring that the ground speed is strictly constrained and controlled within a desired range. The control accuracy and anti-interference ability of the speed controller can provide technical support for improving the UAV mission execution ability and flight safety.

本发明为解决上述技术问题采用以下技术方案:The present invention adopts the following technical solutions for solving the above-mentioned technical problems:

一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,包括如下步骤:A ground-speed-constrained anti-disturbance control method for unmanned aerial vehicles based on the obstacle Lyapunov function, comprising the following steps:

步骤1,设定飞机地速指令

Figure BDA0002338128140000021
地速指令上界
Figure BDA0002338128140000022
和下界
Figure BDA0002338128140000023
以及地速约束范围KcStep 1, set the aircraft ground speed command
Figure BDA0002338128140000021
Ground speed command upper bound
Figure BDA0002338128140000022
and the Nether
Figure BDA0002338128140000023
and the ground speed constraint range K c ;

步骤2,建立飞机地速非线性子系统动态模型,以描述地速运动状态;Step 2, establish a dynamic model of the aircraft ground speed nonlinear subsystem to describe the ground speed motion state;

步骤3,将步骤2建立的飞机地速非线性子系统动态模型转换成飞机地速仿射非线性模型;Step 3, converting the dynamic model of the aircraft ground speed nonlinear subsystem established in step 2 into an aircraft ground speed affine nonlinear model;

步骤4,将飞机地速仿射非线性模型中与控制量油门开度δT线性无关的项视为系统集总扰动项,设计有限时间收敛高阶滑模干扰观测器对集总扰动进行观测估计;Step 4: The term in the aircraft ground speed affine nonlinear model that is linearly independent of the throttle opening δT of the control variable is regarded as the system lumped disturbance term, and a finite-time convergence high-order sliding mode disturbance observer is designed to observe the lumped disturbance. estimate;

步骤5,将步骤4中观测估计得到的集总扰动作为前馈补偿项,结合地速受约束条件,设计基于障碍Lyapunov函数的地速受约束抗干扰控制器;具体过程为:In step 5, the aggregate disturbance obtained by the observation and estimation in step 4 is used as the feedforward compensation term, and combined with the ground speed constraint condition, a ground speed constrained anti-jamming controller based on the obstacle Lyapunov function is designed; the specific process is as follows:

步骤51,定义地速跟踪误差

Figure BDA0002338128140000024
Vk为飞机地速,
Figure BDA0002338128140000025
为飞机地速指令,并定义常数A0>0使得则
Figure BDA0002338128140000026
Step 51, define ground speed tracking error
Figure BDA0002338128140000024
V k is the ground speed of the aircraft,
Figure BDA0002338128140000025
is the ground speed command of the aircraft, and defines the constant A 0 > 0 so that the
Figure BDA0002338128140000026

步骤52,选择基于

Figure BDA0002338128140000027
的不对称障碍Lyapunov函数;具体如下:Step 52, select based on
Figure BDA0002338128140000027
The asymmetric barrier Lyapunov function of ; as follows:

Figure BDA0002338128140000028
Figure BDA0002338128140000028

其中,L表示不对称障碍Lyapunov函数,

Figure BDA0002338128140000029
p为正整数,p≥1,
Figure BDA00023381281400000210
where L represents the asymmetric barrier Lyapunov function,
Figure BDA0002338128140000029
p is a positive integer, p≥1,
Figure BDA00023381281400000210

步骤53,设计飞机地速受约束跟踪控制器;具体如下:Step 53, design the aircraft ground speed constrained tracking controller; the details are as follows:

Figure BDA00023381281400000211
Figure BDA00023381281400000211

其中,

Figure BDA00023381281400000212
Tmax为发动机最大推力,σ为发动机安装角,α和β分别为迎角和侧滑角,m为飞机质量,
Figure BDA00023381281400000213
为集总扰动项,
Figure BDA00023381281400000214
为地速反馈控制增益;in,
Figure BDA00023381281400000212
T max is the maximum thrust of the engine, σ is the engine installation angle, α and β are the angle of attack and sideslip angle, respectively, m is the mass of the aircraft,
Figure BDA00023381281400000213
is the lumped disturbance term,
Figure BDA00023381281400000214
is the ground speed feedback control gain;

步骤54,用步骤4中观测器得到的集总干扰观测估计值

Figure BDA0002338128140000031
代替步骤53式中中的
Figure BDA0002338128140000032
得到飞机地速受约束抗扰动跟踪控制器,完成控制器设计;具体如下:Step 54, use the estimated value of aggregated interference observations obtained by the observer in step 4
Figure BDA0002338128140000031
Substitute for step 53 in the formula
Figure BDA0002338128140000032
The aircraft ground speed constrained anti-disturbance tracking controller is obtained, and the controller design is completed; the details are as follows:

Figure BDA0002338128140000033
Figure BDA0002338128140000033

作为本发明的一种优选方案,步骤2所述飞机地速非线性子系统动态模型为:As a preferred solution of the present invention, the dynamic model of the aircraft ground speed nonlinear subsystem described in step 2 is:

Figure BDA0002338128140000034
Figure BDA0002338128140000034

其中,Vk为飞机地速,m为飞机质量,g为重力加速度,T为发动机推力,D、L、C分别为气动阻力、升力、侧力,σ为发动机安装角,γ为航迹倾角,α和β分别为迎角和侧滑角,αw和βw分别为气流扰动引起的迎角和侧滑角附加量。Among them, V k is the ground speed of the aircraft, m is the mass of the aircraft, g is the acceleration of gravity, T is the thrust of the engine, D, L, and C are the aerodynamic drag, lift, and side force, respectively, σ is the engine installation angle, and γ is the track inclination angle. , α and β are the angle of attack and sideslip angle, respectively, and αw and βw are the additional quantities of the angle of attack and sideslip angle caused by airflow disturbance, respectively.

作为本发明的一种优选方案,所述步骤3的具体过程为:As a preferred solution of the present invention, the specific process of the step 3 is:

步骤31,将步骤2建立的飞机地速非线性子系统动态模型分离成两部分:Step 31, separate the dynamic model of the aircraft ground speed nonlinear subsystem established in step 2 into two parts:

Figure BDA0002338128140000035
Figure BDA0002338128140000035

其中,Vk为飞机地速,m为飞机质量,g为重力加速度,Tmax为发动机最大推力,D、L、C分别为气动阻力、升力、侧力,σ为发动机安装角,γ为航迹倾角,α和β分别为迎角和侧滑角,αw和βw分别为气流扰动引起的迎角和侧滑角附加量,δT为发动机油门开度;Among them, V k is the ground speed of the aircraft, m is the mass of the aircraft, g is the acceleration of gravity, T max is the maximum thrust of the engine, D, L, and C are the aerodynamic drag, lift, and side force, respectively, σ is the engine installation angle, and γ is the air force. track inclination, α and β are the angle of attack and sideslip angle, respectively, αw and βw are the additional amounts of the angle of attack and sideslip angle caused by airflow disturbance, respectively, δT is the engine accelerator opening;

步骤32,将步骤31的模型转换为飞机地速仿射非线性模型:Step 32, convert the model of step 31 into an affine nonlinear model of aircraft ground speed:

Figure BDA0002338128140000036
Figure BDA0002338128140000036

其中,

Figure BDA0002338128140000037
in,
Figure BDA0002338128140000037

作为本发明的一种优选方案,所述步骤4的具体过程为:As a preferred solution of the present invention, the specific process of the step 4 is:

步骤41,将飞机地速仿射非线性模型中与控制量油门开度δT线性无关的项

Figure BDA0002338128140000038
视为系统集总扰动项,对飞机地速仿射非线性模型进行增广,得到地速增广系统:Step 41, the term in the aircraft ground speed affine nonlinear model that is linearly independent of the throttle opening δT of the control variable
Figure BDA0002338128140000038
As the lumped disturbance term of the system, the ground speed affine nonlinear model of the aircraft is augmented, and the ground speed augmented system is obtained:

Figure BDA0002338128140000039
Figure BDA0002338128140000039

其中,Vk为飞机地速,

Figure BDA00023381281400000310
Figure BDA00023381281400000311
的导数,
Figure BDA00023381281400000312
Tmax为发动机最大推力,σ为发动机安装角,α和β分别为迎角和侧滑角,m为飞机质量,δT为发动机油门开度;where V k is the ground speed of the aircraft,
Figure BDA00023381281400000310
Yes
Figure BDA00023381281400000311
the derivative of ,
Figure BDA00023381281400000312
T max is the maximum thrust of the engine, σ is the engine installation angle, α and β are the angle of attack and sideslip angle, respectively, m is the mass of the aircraft, and δ T is the throttle opening of the engine;

步骤42,针对地速增广系统,设计有限时间收敛高阶滑模干扰观测器;具体如下:Step 42, for the ground speed augmentation system, design a finite-time convergence high-order sliding mode interference observer; the details are as follows:

Figure BDA0002338128140000041
Figure BDA0002338128140000041

其中,

Figure BDA0002338128140000042
为Vk的估计值,
Figure BDA0002338128140000043
Figure BDA0002338128140000044
为待设计的观测器参数;
Figure BDA0002338128140000045
为对集总扰动项
Figure BDA0002338128140000046
的观测估计值。in,
Figure BDA0002338128140000042
is the estimated value of V k ,
Figure BDA0002338128140000043
Figure BDA0002338128140000044
is the observer parameter to be designed;
Figure BDA0002338128140000045
is the lumped perturbation term
Figure BDA0002338128140000046
The observed estimate of .

本发明采用以上技术方案与现有技术相比,具有以下技术效果:Compared with the prior art, the present invention adopts the above technical scheme, and has the following technical effects:

1、本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,可实现对包含参数摄动等不确定性诱发的不可测量集总扰动的准确观测估计。1. A ground-speed-constrained anti-disturbance control method for unmanned aerial vehicles based on the obstacle Lyapunov function of the present invention can realize accurate observation and estimation of unmeasurable lumped disturbances induced by uncertainties including parameter perturbations.

2、本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,可显著确保飞机地速被严格约束控制在期望的范围以内。2. The present invention is an anti-disturbance control method for UAV ground speed constraint based on obstacle Lyapunov function, which can significantly ensure that the ground speed of the aircraft is strictly constrained and controlled within a desired range.

3、本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,可以实现一定参数摄动下地速的受约束抗干扰精确控制,显著提高控制精度。3. The present invention is a ground-speed-constrained anti-disturbance control method for UAV based on the obstacle Lyapunov function, which can realize the restrained anti-disturbance precise control of ground speed under certain parameter perturbation, and significantly improve the control accuracy.

附图说明Description of drawings

图1是本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法框图。FIG. 1 is a block diagram of a ground speed constraint anti-disturbance control method for UAV based on the obstacle Lyapunov function of the present invention.

图2是本发明实施例中有、无气动参数摄动飞机地速跟踪结果。FIG. 2 is the ground speed tracking result of the aircraft with and without aerodynamic parameter perturbation in the embodiment of the present invention.

图3是本发明实施例中有、无气动参数摄动飞机地速跟踪误差结果。FIG. 3 shows the results of ground speed tracking error of the aircraft with and without aerodynamic parameters perturbed in the embodiment of the present invention.

图4是本发明实施例中有、无气动参数摄动飞机发动机油门开度结果。FIG. 4 is the result of perturbing the throttle opening of the aircraft engine with and without aerodynamic parameters in the embodiment of the present invention.

具体实施方式Detailed ways

下面详细描述本发明的实施方式,所述实施方式的示例在附图中示出。下面通过参考附图描述的实施方式是示例性的,仅用于解释本发明,而不能解释为对本发明的限制。Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but not to be construed as a limitation of the present invention.

本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,先建立飞机地速非线性子系统动态模型,并将将其其处理为仿射非线性形式;进而,针对地速仿射非线性模型,设计有限时间高阶滑模干扰观测器,以估计系统参数摄动引起的不确定扰动;在此基础上,以估计获得的未知扰动作为前馈补偿,设计地速子系统非线性受约束抗扰动跟踪控制器,以实现在给定地速约束条件下对期望地速的准确跟踪。The present invention is a ground-speed-constrained anti-disturbance control method for unmanned aerial vehicles based on the obstacle Lyapunov function. First, a dynamic model of the aircraft ground-speed nonlinear subsystem is established, and it is processed into an affine nonlinear form; An affine nonlinear model is used to design a finite-time high-order sliding mode disturbance observer to estimate the uncertain disturbance caused by the perturbation of system parameters; on this basis, the estimated unknown disturbance is used as feedforward compensation to design the ground velocity subsystem Nonlinear constrained anti-disturbance tracking controller to achieve accurate tracking of desired ground speed under given ground speed constraints.

本实施例中,设定飞机飞行高度为7010m。In this embodiment, the flight altitude of the aircraft is set to be 7010m.

如图1所示,一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,具体包括如下步骤:As shown in Figure 1, a UAV ground speed constraint anti-disturbance control method based on the obstacle Lyapunov function specifically includes the following steps:

步骤一、设定飞机地速指令

Figure BDA0002338128140000051
地速指令上下界
Figure BDA0002338128140000052
Figure BDA0002338128140000053
以及地速约束范围S={Vk||Vk|≤Kc}。Step 1. Set the aircraft ground speed command
Figure BDA0002338128140000051
Ground speed command upper and lower bounds
Figure BDA0002338128140000052
and
Figure BDA0002338128140000053
And the ground speed constraint range S={V k ||V k |≤K c }.

此步骤中选取飞机地速指令

Figure BDA0002338128140000054
则地速指令上下边界为
Figure BDA0002338128140000055
Figure BDA0002338128140000056
同时,本步骤中选取地速约束范围Kc=202.2m/s。In this step, select the aircraft ground speed command
Figure BDA0002338128140000054
Then the upper and lower boundaries of the ground speed command are
Figure BDA0002338128140000055
and
Figure BDA0002338128140000056
Meanwhile, the ground speed constraint range K c =202.2m/s is selected in this step.

步骤二、建立飞机地速非线性子系统动态模型,以描述地速运动状态。Step 2: Establish a dynamic model of the aircraft ground speed nonlinear subsystem to describe the ground speed motion state.

Figure BDA0002338128140000057
Figure BDA0002338128140000057

式中,c(·)=cos(·),s(·)=sin(·),m为飞机质量,g为重力加速度,T为发动机推力,D、L和C为气动阻力、升力和侧力,σ为发动机安装角,γ为航迹倾角,α和β为迎角和侧滑角,αw和βw为气流扰动引起的迎角和侧滑角附加量。In the formula, c ( · ) = cos ( · ), s ( · ) = sin ( · ), m is the mass of the aircraft, g is the acceleration of gravity, T is the engine thrust, D, L and C are aerodynamic drag, lift and side force, σ is the engine installation angle, γ is the track inclination angle, α and β are the angle of attack and sideslip angle, and αw and βw are the additional quantities of the angle of attack and sideslip angle caused by airflow disturbance.

此步骤中:In this step:

Figure BDA0002338128140000058
Figure BDA0002338128140000058

T=TmaxδT,ρ=ρ0e-k|z|,Q=0.5ρV2 T=T max δ T , ρ=ρ 0 e -k|z| , Q=0.5ρV 2

式中,

Figure BDA0002338128140000059
ρ、V和Q分别为大气密度、空速和动压,ρ0为基准大气密度,k为大气密度计算参数,z为飞行高度,S为气动截面积,
Figure BDA00023381281400000510
为气动弦长,q为俯仰角速率,δe为升降舵偏角,δr为方向舵偏角。In the formula,
Figure BDA0002338128140000059
ρ, V and Q are atmospheric density, airspeed and dynamic pressure, respectively, ρ 0 is the reference atmospheric density, k is the calculation parameter of atmospheric density, z is the flight height, S is the aerodynamic cross-sectional area,
Figure BDA00023381281400000510
is the aerodynamic chord length, q is the pitch rate, δ e is the elevator deflection angle, and δ r is the rudder deflection angle.

并选取飞机物理及气动参数如下:Tmax244647.2N、m=88380kg、S=226.03m2cL,0=0、

Figure BDA0002338128140000062
cD,0=0.028、
Figure BDA0002338128140000063
cC,0=0、
Figure BDA0002338128140000064
The physical and aerodynamic parameters of the aircraft are selected as follows: T max 244647.2N, m=88380kg, S=226.03m 2 , c L,0 = 0,
Figure BDA0002338128140000062
c D,0 = 0.028,
Figure BDA0002338128140000063
c C,0 = 0,
Figure BDA0002338128140000064

步骤三、将步骤二中建立的地速子系统动态模型转换成仿射非线性形式,以便于非线性控制器设计。Step 3: Convert the dynamic model of the ground speed subsystem established in Step 2 into an affine nonlinear form, so as to facilitate the design of a nonlinear controller.

具体步骤如下:Specific steps are as follows:

步骤31、将骤二中所建立的地速子系统动态模型分离成:与骤二中建立的地速子系统动态模型和其他项;具体如下:Step 31. Separate the ground velocity subsystem dynamic model established in step 2 into: the ground velocity subsystem dynamic model established in step 2 and other items; the details are as follows:

Figure BDA0002338128140000065
Figure BDA0002338128140000065

式中,δT为发动机油门开度,单位:%;Tmax为发动机最大推力。In the formula, δ T is the throttle opening of the engine, unit: %; T max is the maximum thrust of the engine.

步骤32、将31步骤中式(2)写成式(3)所描述仿射非线性形式;具体如下:Step 32, write formula (2) in step 31 into the affine nonlinear form described by formula (3); the details are as follows:

Figure BDA0002338128140000066
Figure BDA0002338128140000066

式中,

Figure BDA0002338128140000067
In the formula,
Figure BDA0002338128140000067

步骤四、将飞机地速仿射非线性模型中与控制量油门开度δT线性无关的项

Figure BDA0002338128140000068
视为系统集总扰动,设计有限时间收敛高阶滑模干扰观测器对其进行准确观测估计。Step 4. The term in the affine nonlinear model of the aircraft ground speed that is linearly independent of the throttle opening δT of the control variable
Figure BDA0002338128140000068
Considering the system lumped disturbance, a finite-time convergent high-order sliding-mode disturbance observer is designed to accurately observe and estimate it.

具体步骤如下:Specific steps are as follows:

步骤41、将步骤32中式(3)中

Figure BDA0002338128140000069
增广为该系统的一个新状态,得到地速增广系统;具体如下:Step 41, put step 32 in formula (3)
Figure BDA0002338128140000069
Augmentation is a new state of the system, and the ground-speed augmentation system is obtained; the details are as follows:

Figure BDA00023381281400000610
Figure BDA00023381281400000610

式中,

Figure BDA00023381281400000611
Figure BDA00023381281400000612
Figure BDA00023381281400000613
的导数;In the formula,
Figure BDA00023381281400000611
Figure BDA00023381281400000612
Yes
Figure BDA00023381281400000613
the derivative of ;

步骤42、针对步骤41中式(4)所描述的地速增广系统,设计有限时间收敛高阶滑模干扰观测器;具体如下:Step 42: Design a finite-time convergent high-order sliding-mode interference observer for the ground speed augmentation system described by equation (4) in step 41; the details are as follows:

Figure BDA00023381281400000614
Figure BDA00023381281400000614

式中,

Figure BDA0002338128140000071
Figure BDA0002338128140000072
为待设计的观测器参数;
Figure BDA0002338128140000073
即为对集总扰动项
Figure BDA0002338128140000074
的观测估计值。In the formula,
Figure BDA0002338128140000071
Figure BDA0002338128140000072
is the observer parameter to be designed;
Figure BDA0002338128140000073
is the lumped perturbation term
Figure BDA0002338128140000074
The observed estimate of .

此步骤中,选取有限时间收敛高阶滑模观测器参数为:

Figure BDA0002338128140000075
In this step, the parameters of the finite-time convergent high-order sliding mode observer are selected as:
Figure BDA0002338128140000075

步骤五、将步骤四中观测估计得到的扰动作为前馈补偿项,结合地速受约束条件,设计基于障碍Lyapunov函数的地速受约束抗干扰控制器。Step 5: Taking the disturbance estimated in step 4 as a feedforward compensation term, and combining the ground speed constraint condition, a ground speed constrained anti-jamming controller based on the obstacle Lyapunov function is designed.

具体步骤如下:Specific steps are as follows:

步骤51,定义地速跟踪误差

Figure BDA0002338128140000076
并定义常数A0>0,则
Figure BDA0002338128140000077
Step 51, define ground speed tracking error
Figure BDA0002338128140000076
And define the constant A 0 > 0, then
Figure BDA0002338128140000077

步骤52,选择基于

Figure BDA0002338128140000078
的不对称障碍Lyapunov函数;具体如下:Step 52, select based on
Figure BDA0002338128140000078
The asymmetric barrier Lyapunov function of ; as follows:

Figure BDA0002338128140000079
Figure BDA0002338128140000079

式中,

Figure BDA00023381281400000710
p≥1为正整数,
Figure BDA00023381281400000711
In the formula,
Figure BDA00023381281400000710
p≥1 is a positive integer,
Figure BDA00023381281400000711

步骤53,设计飞机地速受约束跟踪控制器;具体如下:Step 53, design the aircraft ground speed constrained tracking controller; the details are as follows:

Figure BDA00023381281400000712
Figure BDA00023381281400000712

式中,

Figure BDA00023381281400000713
为地速反馈控制增益。In the formula,
Figure BDA00023381281400000713
Control gain for ground speed feedback.

步骤54,用步骤四中观测器得到的集总干扰估计值

Figure BDA00023381281400000714
代替步骤53中式(7)中的
Figure BDA00023381281400000715
得到飞机地速受约束抗扰动跟踪控制器,完成控制器设计;具体如下:Step 54, use the aggregated interference estimate obtained by the observer in step 4
Figure BDA00023381281400000714
Substitute for step 53 in formula (7)
Figure BDA00023381281400000715
The aircraft ground speed constrained anti-disturbance tracking controller is obtained, and the controller design is completed; the details are as follows:

Figure BDA00023381281400000716
Figure BDA00023381281400000716

此步骤中,选取控制参数为:

Figure BDA00023381281400000717
p=2。In this step, the selected control parameters are:
Figure BDA00023381281400000717
p=2.

采用本发明基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,结合上述给定的飞行和地速约束条件,分别在无上述气动参数摄动、-20%气动参数摄动和+20%气动参数摄动下,仿真获取的飞机地速、地速误差和油门开度的结果图。Using the ground speed constraint anti-disturbance control method of the UAV based on the obstacle Lyapunov function of the present invention, combined with the above-mentioned given flight and ground speed constraints, respectively, in the absence of the above aerodynamic parameter perturbation, -20% aerodynamic parameter perturbation and +20% % Under the perturbation of aerodynamic parameters, the result graph of the ground speed, ground speed error and throttle opening of the aircraft obtained by simulation.

如图2所示,是本实施例中无气动参数摄动、-20%气动参数摄动和+20%气动参数摄动下飞机地速跟踪结果。可以看出在有无气动参数摄动的情况下,本发明方法地速控制器都很好地控制地速精确地跟踪指令,三种情况下的地速跟踪结果趋于重合一致,这充分说明本发明所提出的飞机地速控制器具有出色的抗干扰能力,能够较好地抵抗±20%的气动参数摄动影响;另一方面,三种情况下地速跟踪结果均未超越给定的地速约束范围KC=202.2m/s,这说明本发明方法能准确地将地速约束在给定的约束范围之内。As shown in FIG. 2 , it is the result of ground speed tracking of the aircraft without perturbation of aerodynamic parameters, -20% perturbation of aerodynamic parameters and +20% perturbation of aerodynamic parameters in this embodiment. It can be seen that with or without the perturbation of aerodynamic parameters, the ground speed controller of the method of the present invention can well control the ground speed and accurately track the command, and the ground speed tracking results in the three cases tend to coincide, which fully shows that The aircraft ground speed controller proposed by the present invention has excellent anti-interference ability and can better resist the perturbation effect of ±20% aerodynamic parameters; on the other hand, the ground speed tracking results in the three cases do not exceed the given ground speed The speed constraint range K C =202.2m/s, which shows that the method of the present invention can accurately constrain the ground speed within the given constraint range.

如图3所示,是本实施例中无气动参数摄动、-20%气动参数摄动和+20%气动参数摄动下飞机地速跟踪误差结果。可以看出在有无气动参数摄动的情况下,跟踪误差在刚开始阶段略有差别,但很快趋于重合一致,控制器能够较好地抵抗±20%的气动参数摄动影响,从而保持较高的跟踪精度;另一方面,三种情况下地速跟踪误差结果均未超越给定的地速误差约束范围[-0.20.2]m/s,这也印证了本发明方法能具有准确的地速约束控制能力。As shown in FIG. 3 , it is the result of the ground speed tracking error of the aircraft with no aerodynamic parameter perturbation, -20% aerodynamic parameter perturbation and +20% aerodynamic parameter perturbation in this embodiment. It can be seen that with or without the perturbation of aerodynamic parameters, the tracking error is slightly different at the beginning, but it tends to coincide soon, and the controller can better resist the influence of ±20% perturbation of aerodynamic parameters, thus Keep a high tracking accuracy; on the other hand, the ground speed tracking error results in the three cases do not exceed the given ground speed error constraint range [-0.20.2]m/s, which also confirms that the method of the present invention can be accurate ground speed restraint control capability.

如图4所示,是无气动参数摄动、-20%气动参数摄动和+20%气动参数摄动下油门开度结果图。可以看出,随着气动参数摄动的引入,油门开度在幅值上有明显差异,但整体变化趋势趋于一致。当气动参数摄动增加(如+20%)时,需要更大的油门开度以实现期望的地速受约束抗扰控制效果;反之,当气动参数摄动减小(如-20%)时,需要较小的油门开度以实现期望的地速受约束抗扰控制效果。As shown in Figure 4, it is the result graph of the throttle opening without perturbation of aerodynamic parameters, -20% perturbation of aerodynamic parameters and +20% perturbation of aerodynamic parameters. It can be seen that with the introduction of aerodynamic parameter perturbation, the throttle opening has obvious differences in amplitude, but the overall change trend tends to be consistent. When the aerodynamic parameter perturbation increases (such as +20%), a larger throttle opening is required to achieve the desired ground speed constrained anti-disturbance control effect; conversely, when the aerodynamic parameter perturbation decreases (such as -20%) , a smaller throttle opening is required to achieve the desired ground speed constrained anti-disturbance control effect.

综合上述分析和仿真验证,充分证明了本发明一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法在飞机地速受约束抗干扰精准控制方面的有效性。Based on the above analysis and simulation verification, the effectiveness of the ground speed constrained anti-disturbance control method of the UAV based on the obstacle Lyapunov function of the present invention is fully proved in the precise control of the ground speed constrained anti-disturbance of the aircraft.

以上实施例仅为说明本发明的技术思想,不能以此限定本发明的保护范围,凡是按照本发明提出的技术思想,在技术方案基础上所做的任何改动,均落入本发明保护范围之内。The above embodiments are only to illustrate the technical idea of the present invention, and cannot limit the protection scope of the present invention. Any modification made on the basis of the technical solution according to the technical idea proposed by the present invention falls within the protection scope of the present invention. Inside.

Claims (4)

1.一种基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,其特征在于,包括如下步骤:1. an unmanned aerial vehicle ground speed constraint anti-disturbance control method based on obstacle Lyapunov function, is characterized in that, comprises the steps: 步骤1,设定飞机地速指令
Figure FDA0002338128130000011
地速指令上界
Figure FDA0002338128130000012
和下界
Figure FDA0002338128130000013
以及地速约束范围Kc
Step 1, set the aircraft ground speed command
Figure FDA0002338128130000011
Ground speed command upper bound
Figure FDA0002338128130000012
and the Nether
Figure FDA0002338128130000013
and the ground speed constraint range K c ;
步骤2,建立飞机地速非线性子系统动态模型,以描述地速运动状态;Step 2, establish a dynamic model of the aircraft ground speed nonlinear subsystem to describe the ground speed motion state; 步骤3,将步骤2建立的飞机地速非线性子系统动态模型转换成飞机地速仿射非线性模型;Step 3, converting the dynamic model of the aircraft ground speed nonlinear subsystem established in step 2 into an aircraft ground speed affine nonlinear model; 步骤4,将飞机地速仿射非线性模型中与控制量油门开度δT线性无关的项视为系统集总扰动项,设计有限时间收敛高阶滑模干扰观测器对集总扰动进行观测估计;Step 4: The term in the aircraft ground speed affine nonlinear model that is linearly independent of the throttle opening δT of the control variable is regarded as the system lumped disturbance term, and a finite-time convergence high-order sliding mode disturbance observer is designed to observe the lumped disturbance. estimate; 步骤5,将步骤4中观测估计得到的集总扰动作为前馈补偿项,结合地速受约束条件,设计基于障碍Lyapunov函数的地速受约束抗干扰控制器;具体过程为:In step 5, the aggregate disturbance obtained by the observation and estimation in step 4 is used as the feedforward compensation term, and combined with the ground speed constraint condition, a ground speed constrained anti-jamming controller based on the obstacle Lyapunov function is designed; the specific process is as follows: 步骤51,定义地速跟踪误差
Figure FDA0002338128130000014
Vk为飞机地速,
Figure FDA0002338128130000015
为飞机地速指令,并定义常数A0>0使得
Figure FDA0002338128130000016
Step 51, define ground speed tracking error
Figure FDA0002338128130000014
V k is the ground speed of the aircraft,
Figure FDA0002338128130000015
is the aircraft ground speed command, and defines the constant A 0 > 0 such that
Figure FDA0002338128130000016
步骤52,选择基于
Figure FDA0002338128130000017
的不对称障碍Lyapunov函数;具体如下:
Step 52, select based on
Figure FDA0002338128130000017
The asymmetric barrier Lyapunov function of ; as follows:
Figure FDA0002338128130000018
Figure FDA0002338128130000018
其中,L表示不对称障碍Lyapunov函数,
Figure FDA0002338128130000019
p为正整数,p≥1,
Figure FDA00023381281300000110
where L represents the asymmetric barrier Lyapunov function,
Figure FDA0002338128130000019
p is a positive integer, p≥1,
Figure FDA00023381281300000110
步骤53,设计飞机地速受约束跟踪控制器;具体如下:Step 53, design the aircraft ground speed constrained tracking controller; the details are as follows:
Figure FDA00023381281300000111
Figure FDA00023381281300000111
其中,
Figure FDA00023381281300000112
Tmax为发动机最大推力,σ为发动机安装角,α和β分别为迎角和侧滑角,m为飞机质量,
Figure FDA00023381281300000113
为集总扰动项,
Figure FDA00023381281300000114
为地速反馈控制增益;
in,
Figure FDA00023381281300000112
T max is the maximum thrust of the engine, σ is the engine installation angle, α and β are the angle of attack and sideslip angle, respectively, m is the mass of the aircraft,
Figure FDA00023381281300000113
is the lumped disturbance term,
Figure FDA00023381281300000114
is the ground speed feedback control gain;
步骤54,用步骤4中观测器得到的集总干扰观测估计值
Figure FDA0002338128130000021
代替步骤53式中中的
Figure FDA0002338128130000022
得到飞机地速受约束抗扰动跟踪控制器,完成控制器设计;具体如下:
Step 54, use the estimated value of aggregated interference observations obtained by the observer in step 4
Figure FDA0002338128130000021
Substitute for step 53 in the formula
Figure FDA0002338128130000022
The aircraft ground speed constrained anti-disturbance tracking controller is obtained, and the controller design is completed; the details are as follows:
Figure FDA0002338128130000023
Figure FDA0002338128130000023
2.根据权利要求1所述基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,其特征在于,步骤2所述飞机地速非线性子系统动态模型为:2. the unmanned aerial vehicle ground speed constraint anti-disturbance control method based on obstacle Lyapunov function according to claim 1, is characterized in that, described in step 2, the aircraft ground speed nonlinear subsystem dynamic model is:
Figure FDA0002338128130000024
Figure FDA0002338128130000024
其中,Vk为飞机地速,m为飞机质量,g为重力加速度,T为发动机推力,D、L、C分别为气动阻力、升力、侧力,σ为发动机安装角,γ为航迹倾角,α和β分别为迎角和侧滑角,αw和βw分别为气流扰动引起的迎角和侧滑角附加量。Among them, V k is the ground speed of the aircraft, m is the mass of the aircraft, g is the acceleration of gravity, T is the thrust of the engine, D, L, and C are the aerodynamic drag, lift, and side force, respectively, σ is the engine installation angle, and γ is the track inclination angle. , α and β are the angle of attack and sideslip angle, respectively, and αw and βw are the additional quantities of the angle of attack and sideslip angle caused by airflow disturbance, respectively.
3.根据权利要求1所述基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,其特征在于,所述步骤3的具体过程为:3. the unmanned aerial vehicle ground speed restraint anti-disturbance control method based on obstacle Lyapunov function according to claim 1 is characterized in that, the concrete process of described step 3 is: 步骤31,将步骤2建立的飞机地速非线性子系统动态模型分离成两部分:Step 31, separate the dynamic model of the aircraft ground speed nonlinear subsystem established in step 2 into two parts:
Figure FDA0002338128130000025
Figure FDA0002338128130000025
其中,Vk为飞机地速,m为飞机质量,g为重力加速度,Tmax为发动机最大推力,D、L、C分别为气动阻力、升力、侧力,σ为发动机安装角,γ为航迹倾角,α和β分别为迎角和侧滑角,αw和βw分别为气流扰动引起的迎角和侧滑角附加量,δT为发动机油门开度;Among them, V k is the ground speed of the aircraft, m is the mass of the aircraft, g is the acceleration of gravity, T max is the maximum thrust of the engine, D, L, and C are the aerodynamic drag, lift, and side force, respectively, σ is the engine installation angle, and γ is the air force. track inclination, α and β are the angle of attack and sideslip angle, respectively, αw and βw are the additional amounts of the angle of attack and sideslip angle caused by airflow disturbance, respectively, δT is the engine accelerator opening; 步骤32,将步骤31的模型转换为飞机地速仿射非线性模型:Step 32, convert the model of step 31 into an affine nonlinear model of aircraft ground speed:
Figure FDA0002338128130000026
Figure FDA0002338128130000026
其中,
Figure FDA0002338128130000027
in,
Figure FDA0002338128130000027
4.根据权利要求1所述基于障碍Lyapunov函数的无人机地速约束抗扰控制方法,其特征在于,所述步骤4的具体过程为:4. the unmanned aerial vehicle ground speed restraint anti-disturbance control method based on obstacle Lyapunov function according to claim 1, is characterized in that, the concrete process of described step 4 is: 步骤41,将飞机地速仿射非线性模型中与控制量油门开度δT线性无关的项
Figure FDA0002338128130000028
视为系统集总扰动项,对飞机地速仿射非线性模型进行增广,得到地速增广系统:
Step 41, the term in the aircraft ground speed affine nonlinear model that is linearly independent of the throttle opening δT of the control variable
Figure FDA0002338128130000028
As the lumped disturbance term of the system, the ground speed affine nonlinear model of the aircraft is augmented, and the ground speed augmented system is obtained:
Figure FDA0002338128130000031
Figure FDA0002338128130000031
其中,Vk为飞机地速,
Figure FDA0002338128130000032
Figure FDA0002338128130000033
的导数,
Figure FDA0002338128130000034
Tmax为发动机最大推力,σ为发动机安装角,α和β分别为迎角和侧滑角,m为飞机质量,δT为发动机油门开度;
where V k is the ground speed of the aircraft,
Figure FDA0002338128130000032
Yes
Figure FDA0002338128130000033
the derivative of ,
Figure FDA0002338128130000034
T max is the maximum thrust of the engine, σ is the engine installation angle, α and β are the angle of attack and sideslip angle, respectively, m is the mass of the aircraft, and δ T is the throttle opening of the engine;
步骤42,针对地速增广系统,设计有限时间收敛高阶滑模干扰观测器;具体如下:Step 42, for the ground speed augmentation system, design a finite-time convergence high-order sliding mode interference observer; the details are as follows:
Figure FDA0002338128130000035
Figure FDA0002338128130000035
其中,
Figure FDA0002338128130000036
为Vk的估计值,
Figure FDA0002338128130000037
Figure FDA0002338128130000038
为待设计的观测器参数;
Figure FDA0002338128130000039
为对集总扰动项
Figure FDA00023381281300000310
的观测估计值。
in,
Figure FDA0002338128130000036
is the estimated value of V k ,
Figure FDA0002338128130000037
Figure FDA0002338128130000038
is the observer parameter to be designed;
Figure FDA0002338128130000039
is the lumped perturbation term
Figure FDA00023381281300000310
The observed estimate of .
CN201911364832.0A 2019-12-26 2019-12-26 Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function Pending CN110908288A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911364832.0A CN110908288A (en) 2019-12-26 2019-12-26 Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911364832.0A CN110908288A (en) 2019-12-26 2019-12-26 Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function

Publications (1)

Publication Number Publication Date
CN110908288A true CN110908288A (en) 2020-03-24

Family

ID=69827721

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911364832.0A Pending CN110908288A (en) 2019-12-26 2019-12-26 Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function

Country Status (1)

Country Link
CN (1) CN110908288A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111240365A (en) * 2020-03-12 2020-06-05 北京航空航天大学 Unmanned aerial vehicle formation self-adaptive actuator fault compensation method with designated performance
CN113359789A (en) * 2021-05-14 2021-09-07 重庆大学 Inversion control method and device for asymmetric dynamic constraint of aircraft
CN114859712A (en) * 2022-04-17 2022-08-05 西北工业大学 Aircraft guidance control integrated method facing throttle constraint
CN116743019A (en) * 2023-04-21 2023-09-12 曲阜师范大学 Constraint boundary-based limited-time cabin suspension control method for dynamically adjusting symmetrical obstacle Lyapunov function

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104317198A (en) * 2014-10-21 2015-01-28 南京理工大学 Method for controlling nonlinear robust position of electro-hydraulic servo system with time-varying output constraints
CN109375639A (en) * 2018-11-27 2019-02-22 浙江工业大学 A kind of rigid aircraft posture restraint tracking and controlling method based on asymmetric modified obstacle liapunov function
CN109656143A (en) * 2019-02-25 2019-04-19 曲阜师范大学 A kind of sea drives the adaptive tracking control method and system of ship entirely

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104317198A (en) * 2014-10-21 2015-01-28 南京理工大学 Method for controlling nonlinear robust position of electro-hydraulic servo system with time-varying output constraints
CN109375639A (en) * 2018-11-27 2019-02-22 浙江工业大学 A kind of rigid aircraft posture restraint tracking and controlling method based on asymmetric modified obstacle liapunov function
CN109656143A (en) * 2019-02-25 2019-04-19 曲阜师范大学 A kind of sea drives the adaptive tracking control method and system of ship entirely

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
KENG PENG TEE, SHUZHI SAM GEA, ENG HOCK TAY: "Barrier Lyapunov Functions for the control of output-constrained nonlinear systems", 《AUTOMATICA》 *
ZIKANG SU, CHUNTAO LI, HONGLUN WANG: "Barrier Lyapunov function-based robust flight control for the ultra-low altitude airdrop under airflow disturbances", 《AEROSPACE SCIENCE AND TECHNOLOGY》 *
邱亚男: "非线性系统的约束控制及其应用研究", 《中国博士学位论文全文数据库 信息科技辑》 *
陆书敏: "具有输出和状态约束非线性系统的自适应控制及其应用", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111240365A (en) * 2020-03-12 2020-06-05 北京航空航天大学 Unmanned aerial vehicle formation self-adaptive actuator fault compensation method with designated performance
CN113359789A (en) * 2021-05-14 2021-09-07 重庆大学 Inversion control method and device for asymmetric dynamic constraint of aircraft
CN114859712A (en) * 2022-04-17 2022-08-05 西北工业大学 Aircraft guidance control integrated method facing throttle constraint
CN116743019A (en) * 2023-04-21 2023-09-12 曲阜师范大学 Constraint boundary-based limited-time cabin suspension control method for dynamically adjusting symmetrical obstacle Lyapunov function
CN116743019B (en) * 2023-04-21 2024-01-26 曲阜师范大学 Symmetrical barrier Lyapunov function cabin suspension control method with constraint boundary adjustment

Similar Documents

Publication Publication Date Title
CN107807663B (en) Formation keeping control method for unmanned aerial vehicles based on adaptive control
Zhen et al. Adaptive super-twisting control for automatic carrier landing of aircraft
Zhen et al. Automatic carrier landing control for unmanned aerial vehicles based on preview control and particle filtering
CN110908288A (en) Unmanned aerial vehicle ground speed constraint disturbance rejection control method based on obstacle Lyapunov function
CN113156985B (en) Robust anti-disturbance flight control method for fixed-wing UAV obstacle avoidance based on preset performance
CN109703768B (en) Soft air refueling docking method based on attitude/trajectory composite control
CN110316358A (en) Fighter plane High Angle of Attack control method based on dynamic inverse
CN102163059A (en) Attitude control system and attitude control method of variable thrust unmanned aerial vehicle
CN108873929A (en) A kind of fixed wing aircraft autonomous landing on the ship method and system
CN107608385B (en) Unmanned helicopter formation control method and control system
CN109703769B (en) An aerial refueling docking control method based on preview strategy
CN110109361A (en) A kind of hypersonic aircraft quick and smooth adaptive sliding-mode observer method
CN110794857A (en) Robust discrete fractional order control method of fixed wing unmanned aerial vehicle considering external wind interference
CN110568765A (en) Asymmetric output-limited control method for hypersonic vehicle for angle-of-attack tracking
Liu et al. Trajectory stabilization control for aerial recovery of cable-drogue-UAV assembly
CN109991992A (en) Model-free adaptive control method for small unmanned helicopter based on immersion invariant set
CN114489094A (en) An anti-wind disturbance control method for rotor UAV based on acceleration feedback enhancement
Hervas et al. Sliding mode control of fixed-wing uavs in windy environments
CN107450313B (en) Unmanned aerial vehicle autopilot control system based on self-adaptive control
Song et al. A singularity‐free online neural network‐based sliding mode control of the fixed‐wing unmanned aerial vehicle optimal perching maneuver
Xiong et al. Disturbance Rejection in UAV's velocity and attitude control: Problems and solutions
CN108958278B (en) A fast anti-jamming guidance method for the cruise segment of an aerospace vehicle
CN114003052A (en) Fixed wing unmanned aerial vehicle longitudinal motion robust self-adaptive control method based on dynamic compensation system
Kaya et al. Aerodynamic design and control of tandem wing UAV
Onuora et al. Unmanned aerial vehicle pitch optimization for fast response of elevator control system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200324

RJ01 Rejection of invention patent application after publication