4.6 Article

Adaptive fuzzy finite-time fault-tolerant control design for non-linear systems under sensor faults

Journal

IET CONTROL THEORY AND APPLICATIONS
Volume 16, Issue 15, Pages 1560-1572

Publisher

WILEY
DOI: 10.1049/cth2.12322

Keywords

-

Funding

  1. National Natural Science Foundation of China [60771014]
  2. Tianjin Key R&D Program of China [17YFZCNC00230]
  3. Tianjin Natural Science Foundation of China [13JCZDJC29100]

Ask authors/readers for more resources

In this article, an adaptive fuzzy finite-time fault-tolerant control scheme is proposed for uncertain non-linear systems under sensor faults. The scheme solves the coupling between fault parameters and actual states using fault parameters separation method. Fuzzy logic system is utilized to approximate the unknown functions and an adaptive fault-tolerant controller is designed using backstepping technology. The effectiveness of the proposed scheme is verified through numerical and physical system simulations.
In this article, an adaptive fuzzy finite-time fault-tolerant control (FTC) scheme for uncertain non-linear systems under sensor faults is proposed. Compared with the existing methods, the considered system contains unknown time-varying fault parameters, uncertain non-linear functions, and can guarantee the performance of the system in finite time. The coupling between fault parameters and actual states is solved by the fault parameters separation method. The fuzzy logic system (FLS) is used to approximate the unknown functions, and combining the backstepping technology an adaptive fault-tolerant controller is designed. The finite-time stability of the closed-loop system is proved by the Lyapunov theory. At last, the numerical simulation and the real physical system simulation verified the effectiveness of the proposed scheme.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available