Adaptive optimal fault-tolerant control scheme for a class of strict-feedback nonlinear systems. (February 2019)

• Record Type: Journal Article
• Authors: Dai, Jiao; Liu, Chunsheng; Sun, Jingliang
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 41:Number 4(2019)
• Page Start: 1079
• Page End: 1087
• Publication Date: 2019-02
• Subjects: Fault-tolerant control -- strict-feedback nonlinear systems -- adaptive dynamic programming (ADP) -- backstepping -- neural networks; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/0142331218786529
• Languages: English
• ISSNs: 0142-3312

Abstract

An active optimal fault-tolerant control (FTC) scheme for a class of nonlinear systems in strict-feedback form in the presence of partial loss of actuator effectiveness faults is proposed, using backstepping design technique and adaptive dynamic programming (ADP) algorithm to compensate the effects of failure. The proposed FTC scheme consists of feedforward controller that achieve the objective of fault-tolerant and feedback optimal controller, which can guarantee the performance index function is minimized. Since fault estimation and control law parameters are updated online, the control system has an adaptive failure compensation capability so as to reconfigure the control law in real time in response to failure indications. Based on Lyapunov stability theory, the whole closed-loop system is guaranteed to be ultimately uniformly bounded. Finally, the effectiveness of the proposed method is demonstrated by simulation.