Title :
A hybrid fuzzy sliding-mode control for a class of generalized, under-actuated and uncertain nonlinear dynamic systems
Author :
Hwang, Chih-Lyang ; Wu, Hsiu-Ming
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
Due to the under-actuated feature, the reference signals using the combination of the system outputs, whose number is larger than that of reference signal, are designed so that the number of control inputs and sliding surfaces is the same, and that the uncontrollable mode is indirectly controlled. Under the uncertain environment, the sliding-mode under-actuated control (SMUC) with the satisfaction of suitable condition is designed to asymptotically track the reference signal. Otherwise, a bounded tracking result is obtained for the mild condition. In this situation, an on-line fuzzy modeling for the uncertainty is employed to design a fuzzy model-based sliding-mode under-actuated control (FSMUC) to improve the system performance; e.g., the bounded tracking result of SMUC becomes an asymptotical tracking. The proposed hybrid fuzzy sliding-mode under-actuated control (HFSMUC) combining SMUC and FSMUC with a transition can be applied to a class of generalized, under-actuated and uncertain nonlinear systems, e.g., the trajectory tracking control of a differential mobile robot (DMR). Finally, the simulations of the HFSMUC system are presented to confirm the efficiency and effectiveness of the proposed control.
Keywords :
control system synthesis; fuzzy control; nonlinear dynamical systems; signal processing; tracking; uncertain systems; variable structure systems; asymptotical tracking; differential mobile robot; fuzzy model-based sliding-mode under-actuated control design; generalized nonlinear dynamic systems; hybrid fuzzy sliding-mode control; online fuzzy modeling; reference signals; system performance improvement; trajectory tracking control; uncertain nonlinear dynamic systems; under-actuated nonlinear dynamic systems; Nonlinear dynamical systems; Sliding mode control; System performance; Trajectory; Uncertainty; Vehicle dynamics; Fuzzy model-based adaptive control; Lyapunov stability theory; Sliding-mode control; Under-actuated control system;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007389