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

• Published in: International journal of systems science Vol. 52; no. 15; pp. 3296 - 3322
• Main Authors: Chao, Daikun, Qi, Ruiyun, Jiang, Bin
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 18.11.2021; Taylor & Francis Ltd
• Subjects: Actuator failure; adaptive robust unscented Kalman filter; Algorithms; Attitude control; Constraint modelling; Control stability; Disturbances; Fault tolerance; fault-tolerant control; Faults; Hypersonic vehicle; Hypersonic vehicles; Kalman filters; model predictive static programming; multiple constraints; Stability analysis; Systems stability; Tracking control
• ISSN: 0020-7721; 1464-5319
• DOI: 10.1080/00207721.2021.1928327

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.