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Sliding Mode Predictive Active Fault-tolerant Control Method for Discrete Multi-faults System

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  • Control Theory and Applications
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Abstract

For discrete systems with sensor and actuator failures, this paper proposes an observer that can estimate both sensor failures and actuator failures and designs a sliding mode predictive fault-tolerant control method based on an improved whale optimization algorithm. First, a proportional-integral observer that can observe actuator fault and sensor fault is designed to estimate the value of faults, which greatly improves the work efficiency. After that, a global sliding mode surface is designed as a prediction model, so that the initial state of the system is located on the sliding mode surface to avoid the instability of the sliding mode approaching the process. The reference trajectory of a power function with uncertainty and disturbance compensation is designed to reduce the bad influence of uncertainty and disturbance on the system and suppress chattering greatly. Meanwhile, in the rolling optimization part, an improved whale optimization algorithm(IWOA) is designed to optimize the control law. Finally, the simulation results on the four-rotor helicopter simulation platform show the practicability and superiority of the algorithm.

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Author information

Authors and Affiliations

  1. College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P. R. China

    Pu Yang

  2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, 211106, P. R. China

    Zhangxi Liu, Dejie Li, Zhiqing Zhang & Zixin Wang

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  1. Pu Yang
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  2. Zhangxi Liu
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  3. Dejie Li
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  4. Zhiqing Zhang
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Correspondence to Pu Yang.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Editor Hamid Reza Karimi. This work is supported by National Key Laboratory of Science and Technology on Helicopter Transmission(Nanjing University of Aeronautics and Astronautics) (No. HTL-O-19G11) and State Key Laboratory of Reliability and Intelligence of Electrical Equipment (No. EERIKF2018012), Hebei University of Technolog, and the Fundamental Research Funds for the Central Universities (No.NJ2019014).

Pu Yang received his B.S. degree and M.E. degree in engineering from Northeastern University in 2000 and 2003, respectively, China. He received his Ph.D. degree in engineering from Southeast University in 2008, China. Presently he is an associate professor at the School of Automation Engineering at Nanjing University of Aeronautics and Astronautics, China. His research interests include fault diagnosis, fault tolerant control, time-delay systems, sliding mode control, etc.

Zhangxi Liu received his B.S. degree in automatic control from Jiangnan University, Wuxi, China, in 2018. Currently he is studying for a master’s degree in automatic control from Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include fault-tolerant control, sliding mode control, adaptive control and their applications.

Dejie Li received his B.S. degree in the School of Information Engineering from NanJing XiaoZhuang University, Nanjing, China, in 2018. Presently he is studying for an M.Eng. degree in automatic control from Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include fault-tolerant control, sliding mode control, neural network control, etc.

Zhiqing Zhang graduated from Jiangnan University with a bachelor’s degree in 2019 and is currently studying for a master’s degree at Nanjing University of Aeronautics and Astronautics. Research direction is fault diagnosis and fault prediction.

Zinxin Wang received his B.S. degree in automatic control from Northeastern University, Shenyang, China in 2019. Currently he is studying for a master’s degree in automatic control from Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include fault-tolerant control, sliding mode control, adaptive control, etc.

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Yang, P., Liu, Z., Li, D. et al. Sliding Mode Predictive Active Fault-tolerant Control Method for Discrete Multi-faults System. Int. J. Control Autom. Syst. 19, 1228–1240 (2021). https://doi.org/10.1007/s12555-020-0046-0

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