Title :
Active fault-tolerant control for strict-feedback nonlinear systems with prescribed performance
Author :
Ming Chen ; Shiyong Zhang ; Huanqing Wang
Author_Institution :
Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
Active fault-tolerant control (AFTC) for strict-feedback nonlinear systems with prescribed performance is investigated in the paper. First a norminal backstepping controller with prescribed performance is presented, which guarantees that the output tracking error is bounded by a predefined function. Secondly, in the presence of unknown faults, an active fault tolerant controller is designed on the basis of fault function approximated by neural network. Both control laws are derived based on Lyapunov stability theory. In each case, the state trajectories of the closed loop system are bounded and the prescribed transient performance for the output tracking error can be achieved. Finally, simulation results show the effectiveness of the proposed approach.
Keywords :
Lyapunov methods; approximation theory; fault tolerant control; feedback; neural nets; nonlinear control systems; AFTC; Lyapunov stability theory; active fault-tolerant control; closed loop system; fault function; neural network; norminal backstepping controller; output tracking error; state trajectories; strict-feedback nonlinear systems; transient performance; Fault tolerance; Fault tolerant systems; Neural networks; Nonlinear systems; Simulation; Steady-state; Trajectory;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-3649-6
DOI :
10.1109/ICICIP.2014.7010340
