Data-based fault-tolerant control for affine nonlinear systems with actuator faults

Chun-Hua Xie; Guang-Hong Yang

doi:10.1016/j.isatra.2016.04.023

Data-based fault-tolerant control for affine nonlinear systems with actuator faults

ISA Trans. 2016 Sep:64:285-292. doi: 10.1016/j.isatra.2016.04.023. Epub 2016 May 11.

Authors

Chun-Hua Xie¹, Guang-Hong Yang²

Affiliations

¹ College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China. Electronic address: xie.chun_hua@163.com.
² College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, PR China. Electronic address: yangguanghong@ise.neu.edu.cn.

PMID: 27180025
DOI: 10.1016/j.isatra.2016.04.023

Abstract

This paper investigates the fault-tolerant control (FTC) problem for unknown nonlinear systems with actuator faults including stuck, outage, bias and loss of effectiveness. The upper bounds of stuck faults, bias faults and loss of effectiveness faults are unknown. A new data-based FTC scheme is proposed. It consists of the online estimations of the bounds and a state-dependent function. The estimations are adjusted online to compensate automatically the actuator faults. The state-dependent function solved by using real system data helps to stabilize the system. Furthermore, all signals in the resulting closed-loop system are uniformly bounded and the states converge asymptotically to zero. Compared with the existing results, the proposed approach is data-based. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.

Keywords: Actuator faults; Data-based policy iteration algorithm; Fault-tolerant control; Unknown nonlinear systems.