Title :
Robust adaptive composite control of space-based robot system with uncertain parameters and external disturbances
Author :
Chen, Zhiyong ; Chen, Li
Author_Institution :
Coll. of Mech. Eng., Fuzhou Univ., Fuzhou, China
Abstract :
In this paper, the control problem of space robot system with uncertain parameters and external disturbances is discussed. With the momentum conservation of the system, the kinematics and dynamics of the system are analyzed, and it is found that the generalized Jacobi matrix and the dynamic equations of the system are nonlinearly dependent on inertial parameters. In order to overcome the problems mentioned above, the idea of augmentation approach is introduced. It is shown that the augmented generalized Jacobi matrix and the dynamic equations of the system can be linearly dependent on a group of inertial parameters with augmented inputs and outputs. Based on the results, a robust adaptive composite control scheme for space-based robot to track the desired trajectories in inertial space is developed. The stability of the overall system is analyzed through Lyapunov direct method. For the proposed approach, the global uniform asymptotic stability of the system is established. In addition, the controller presented possesses the advantage that it needs no measurement of the position, linear velocity and acceleration of the base with respect to the orbit, because of the effective exploitation of the particular property of system dynamics. To show the feasibility of control scheme, a planar space robot system is simulated.
Keywords :
Jacobian matrices; Lyapunov methods; adaptive control; aerospace robotics; asymptotic stability; robot dynamics; robot kinematics; robust control; uncertain systems; Lyapunov direct method; augmented generalized Jacobi matrix; dynamic equations; external disturbances; global uniform asymptotic stability; inertial parameters; momentum conservation; planar space robot system; robust adaptive composite control scheme; space-based robot system; system dynamics; system kinematics; trajectory tracking; uncertain parameters; Adaptive control; Control systems; Jacobian matrices; Nonlinear dynamical systems; Nonlinear equations; Orbital robotics; Programmable control; Robot control; Robust control; Transmission line matrix methods;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5354810