Daachi et al., 2003 - Google Patents
A stable neural adaptive force controller for a hydraulic actuatorDaachi et al., 2003
- Document ID
- 15217521841989990830
- Author
- Daachi B
- Benallegue A
- Publication year
- Publication venue
- Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
External Links
Snippet
In this paper a neural network adaptive force controller is proposed for a hydraulic system. The dynamic model of this system is highly non-linear and very complex to obtain. Thus, it is considered as a black box and a priori identification becomes necessary. A neural network …
- 230000001537 neural 0 title abstract description 54
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive 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
- G05B13/042—Adaptive 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B5/00—Anti-hunting arrangements
- G05B5/01—Anti-hunting arrangements electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Youcef-Toumi et al. | A time delay controller for systems with unknown dynamics | |
Alleyne et al. | A simplified approach to force control for electro-hydraulic systems | |
Peng et al. | Identification and adaptive neural network control of a DC motor system with dead-zone characteristics | |
Nikdel et al. | Adaptive backstepping control for an n-degree of freedom robotic manipulator based on combined state augmentation | |
Lee et al. | Adaptive control for uncertain nonlinear systems based on multiple neural networks | |
Xiaofang et al. | RBF networks-based adaptive inverse model control system for electronic throttle | |
Rashidi et al. | Precise angular speed control of permanent magnet DC motors in presence of high modeling uncertainties via sliding mode observer-based model reference adaptive algorithm | |
Qi et al. | Stable indirect adaptive control based on discrete-time T–S fuzzy model | |
Syed Salim et al. | Position Control of Pneumatic Actuator Using Self‐Regulation Nonlinear PID | |
Lee et al. | Wavelet-based adaptive sliding-mode control with H∞ tracking performance for pneumatic servo system position tracking control | |
KR102275302B1 (en) | RBFNN Based Decentralized Adaptive Tracking Control Using PSO for an Uncertain Electrically Driven Robot System with Input Saturation | |
Ghani et al. | Improved third order PID sliding mode controller for electrohydraulic actuator tracking control | |
Daachi et al. | A stable neural adaptive force controller for a hydraulic actuator | |
Zahmatkesh et al. | Artificial Error Tuning Based on Design a Novel SISO Fuzzy Backstepping Adaptive Variable Structure Control | |
Ahanda et al. | Robust adaptive control for robot manipulators: Support vector regression-based command filtered adaptive backstepping approach | |
Izadbakhsh et al. | Nonlinear PID control of electrical flexible joint robots-Theory and experimental verification | |
Zhang et al. | Adaptive neural control of unknown non-affine nonlinear systems with input deadzone and unknown disturbance | |
Van Kien et al. | Adaptive fuzzy sliding mode control for nonlinear uncertain SISO system optimized by differential evolution algorithm | |
Beyhan | Adaptive fuzzy terminal sliding-mode observer with experimental applications | |
Ta et al. | An innovative recurrent cerebellar model articulation controller for piezo-driven micro-motion stage | |
Osman et al. | System identification and embedded controller design for pneumatic actuator with stiffness characteristic | |
Rysdyk et al. | Robust adaptive nonlinear flight control applications using neural networks | |
Wang et al. | A novel prescribed performance controller with unknown dead-zone and impactive disturbance | |
Dong et al. | Adaptive stiffness and damping impedance control for environmental interactive systems with unknown uncertainty and disturbance | |
Enyan et al. | Nonlinear position control of electro-hydraulic servo system based on lyapunov robust integral backstepping controller |