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

Værnø et al., 2019 - Google Patents

Comparison of control design models and observers for dynamic positioning of surface vessels

Værnø et al., 2019

View PDF
Document ID
8418466322030615690
Author
Værnø S
Skjetne R
Kjerstad Ã
Calabrò V
Publication year
Publication venue
Control Engineering Practice

External Links

Snippet

This paper investigates some fundamental aspects of control system design for dynamic positioning of marine surface vessels. Different control design models are compared. The impact of applying linear and nonlinear models to describe the hydrodynamic damping …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/08Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • G05D1/0816Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability

Similar Documents

Publication Publication Date Title
Værnø et al. Comparison of control design models and observers for dynamic positioning of surface vessels
Fossen et al. Nonlinear passive weather optimal positioning control (WOPC) system for ships and rigs: experimental results
Sonnenburg et al. Modeling, identification, and control of an unmanned surface vehicle
Bell et al. Global exponential tracking control for an autonomous surface vessel: An integral concurrent learning approach
Kyrkjebø et al. Output synchronization control of ship replenishment operations: Theory and experiments
Nie et al. Finite-time output feedback path following control of underactuated MSV based on FTESO
Claus et al. Energy optimal depth control for long range underwater vehicles with applications to a hybrid underwater glider
Bejarbaneh et al. Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle
Karmozdi et al. Implementation of translational motion dynamics for INS data fusion in DVL outage in underwater navigation
Sun et al. Adaptive trajectory tracking control of vector propulsion unmanned surface vehicle with disturbances and input saturation
Værnø et al. Time-varying model-based observer for marine surface vessels in dynamic positioning
Jameian et al. A robust and fast self-alignment method for strapdown inertial navigation system in rough sea conditions
Huang et al. Output-constrained fixed-time control for autonomous ship landing of helicopters
Ohrem et al. Robust adaptive backstepping DP control of ROVs
Wei et al. Composite hierarchical anti-disturbance control for dynamic positioning system of ships based on robust wave filter
Riedel Shallow water stationkeeping of an autonomous underwater vehicle: the experimental results of a disturbance compensation controller
Miao et al. DOPH∞-based path-following control for underactuated marine vehicles with multiple disturbances and constraints
Hosseini et al. Integrated navigation system (INS/auxiliary sensor) based on adaptive robust Kalman filter with partial measurements
Garcia-Garcia et al. Wave filtering for heading control of an AUV based on passive observer
Shi et al. An unscented Kalman filter based wave filtering algorithm for dynamic ship positioning
Bejarano et al. Velocity Estimation and Robust Non-linear Path Following Control of Autonomous Surface Vehicles
Roche et al. LPV/ℋ∞ control of an Autonomous Underwater Vehicle (AUV)
Abtahi et al. Identification of roll dynamics of an autonomous underwater vehicle
Riedel Seaway learning and motion compensation in shallow waters for small AUVs
Li et al. The application of an extended Kalman filter in the dynamic positioning system