Decentralized adaptive fault-tolerant control of interconnected systems with sensor faults

Abstract

The paper considers a class of interconnected nonlinear systems with unknown sensor faults and uncertain interactions. Each subsystem is subject not only to the local sensor faults but also to the possible effects of faults from other subsystems through uncertain interactions. Both multiplicative and time-varying additive sensor faults are taken into consideration, which are allowed to be unknown. A decentralized adaptive fault-tolerant control (FTC) scheme has been established. To eliminate the effects of faults in the control loop, several auxiliary quantities are constructed wisely and estimated by the designed adaptive mechanism. A smooth function is proposed, by which the uncertain interactions can be compensated even if they are coupled with sensor faults. It is proved that, by using only the corrupted states, all the closed-loop signals are globally uniformly bounded, and the output tracking error converges into an adjustable residual set. Finally, simulation and comparison studies are presented to illustrate the effectiveness of the proposed scheme.

Keywords:

• Fault-tolerant control
• sensor faults
• decentralized control
• adaptive control
• interconnected systems

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Xinpeng Fang

Xinpeng Fang received the B.Eng. degree in automation from the China University of Petroleum, Qingdao, China, in 2018, and the M.Eng. degree in control engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2020, where he is currently pursuing the Ph.D. degree in control science and engineering. His research interests include fault-tolerant control, adaptive control, nonlinear systems, and flight control systems. He was a finalist for Zhang Si-Ying Outstanding Youth Paper Award in the 34th Chinese Control and Decision Conference in 2022.

Huijin Fan

Huijin Fan received the B.S degree in mathematics from the Central China Normal University, China, in 1995, the M.S degree in applied mathematics from the Chinese Academy of Sciences in 1998, and the Ph.D. degree in electrical engineering from Nanyang Technological University, Singapore, in 2002. After that, she was a Research Associate at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Then, she joined the National University of Singapore, as a Research Fellow in the Department of Electrical and Computer Engineering. From April 2004 to July 2005, she was a Visiting Research Fellow at the Department of Electronics and Information Systems, Akita Prefectural University, Akita, Japan. Since August 2005, she has been with Huazhong University of Science and Technology, where she is currently a Professor. Her research interests include adaptive control theory and flight control systems.

Lei Liu

Lei Liu received his B.Sc., M.Sc. and Ph.D. degrees in control science and engineering from the Huazhong University of Science and Technology in 2003, 2005 and 2009, respectively. He has been a professor at Huazhong University of Science and Technology since 2022. His research interests include advanced guidance technology, attitude control method and trajectory optimisation algorithm for highspeed aircraft, and applications of artificial intelligence in aerospace.

Bo Wang

Bo Wang received his Ph.D. degree in electronic engineering at University of Pretoria, South Africa, in 2017. He is currently an associate professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. His current research interests lie within the scope of intelligent control and optimisation of complicated systems, with techniques such as reinforcement learning and evolutionary optimisation.