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

fYear

2014

fDate

18-20 Aug. 2014

Firstpage

204

Lastpage

210

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2014 Fifth International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4799-3649-6

Type

conf

DOI

10.1109/ICICIP.2014.7010340

Filename

7010340