Constrained fault-tolerant control for hypersonic vehicle subject to actuator failure and with unmeasurable states

Abstract

In this article, a novel constrained fault-tolerant control (FTC) scheme is proposed to solve the attitude tracking control problem of the hypersonic vehicle (HSV) subject to multiple constraints, actuator faults, and disturbances. The reentry model of HSV with state constraints and the fault model of aerodynamic surface considering surface deflection constraints are constructed firstly. The adaptive robust unscented Kalman filter (ARUKF)-based estimation algorithm is designed, which can quickly estimate state variables, stuck faults, partial loss of effectiveness (PLOE) faults, and disturbances at the same time. By utilising the improved model predictive static programming (MPSP) technique, the complexity of processing multiple constraints and the computation are significantly reduced. Moreover, the closed-loop control system stability of HSV is analysed and the simulation results under two fault cases are given to demonstrate the effectiveness of the presented FTC scheme.

Keywords:

• Hypersonic vehicle
• multiple constraints
• fault-tolerant control
• model predictive static programming
• adaptive robust unscented Kalman filter

Disclosure statement

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

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 61873127], [grant number 62020106003], and the Postgraduate Research & Practice Innovation Program of Jiangsu Province [grant number KYCX20_0209].

Notes on contributors

Daikun Chao

Daikun Chao received his M.S. degree in control science and engineering from China University of Petroleum (East China), Qingdao, China, in 2019. He is currently pursuing the Ph.D. degree in control science and engineering with College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. His current research interests include fault diagnosis, fault-tolerant control and their applications.

Ruiyun Qi

Ruiyun Qi received her B.E. degree in automatic control from University of Science and Technology of China in 2001, and Ph.D. degree in electrical engineering from University of Birmingham, UK, in 2007. She joined the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, in 2008. Now she is a professor. Her research interests include fuzzy adaptive control, fault-tolerant control and their applications.

Bin Jiang

Bin Jiang received the Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 1995. He had been a Post-Doctoral Fellow, a Research Fellow and a Visiting Professor in Singapore, France, USA, and Canada, respectively. He is currently a Chair Professor of the CheungKong Scholar Program, Ministry of Education, and the Dean of College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China. His research interests include fault diagnosis and fault-tolerant control and their applications in aircraft, satellite and high-speed trains. He is an Associate Editor or Editorial Board Member for a number of journals, such as IEEE TRANSACTIONON CONTROL SYSTEMS TECHNOLOGY, International Journal of Control, Automation and Systems, Acta Automatica Sinica, Journal of Astronautics; Control and Decision, Systems Engineering and Electronics Technologies, and Neuralcomputing.