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Fuzzy Adaptive Hybrid Compensation for Compound Faults of Hypersonic Flight Vehicle

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  • Intelligent Control and Applications
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Abstract

Based on the adaptive control technique, this study investigates the active-passive hybrid fault-tolerant control (FTC) for hypersonic flight vehicles (HFVs) with compound faults, including system and actuator faults. System and actuator compound faults are defined in multi-augmented Takagi-Sugeno fuzzy HFV systems. Indirect passive compensation factors shield the system faults. An observer with adaptive learning rates that combine fault magnitude and fuzzy premise variable is then designed to estimate actuator faults, where a novel bionic variable parameter algorithm improves the sensitivity and accuracy of fault estimation to the incipient fault deviations. Hence the fault-tolerant controller actively compensates for the actuator faults by using estimated information while shielding the system faults. Finally, the improved adaptive active-passive hybrid FTC for compound faults are completed, and the system’s robust stability is proven. Simulation results are provided to illustrate the effectiveness of the proposed FTC scheme.

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Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, Jiangsu, 211106, China

    Kaiyu Hu, Fuyang Chen & Zian Cheng

Authors
  1. Kaiyu Hu
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  2. Fuyang Chen
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  3. Zian Cheng
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Corresponding author

Correspondence to Fuyang Chen.

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This work was supported by the National Natural Science Foundation of China (61533009, 61873127).

Kaiyu Hu received his B.E. degree from Jilin University, Changchun, China, in 2012 and his M.S. degree from University of Chinese Academy of Sciences, Beijing, China, in 2015. He is currently working toward a Ph.D. degree at Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include adaptive control, non-Gaussian systems, and fault-tolerant control.

Fuyang Chen received his D.E. degree in automation engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013. He is currently a Professor with the Nanjing University of Aeronautics and Astronautics. His research interests include adaptive control, flight control, quantum control, and self-repairing control.

Zian Cheng was born in Xuzhou, Jiangsu Provence, and graduated from Southwest Forestry University, Kunming, Yunnan Provence. He is currently working toward a Ph.D. degree at Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include adaptive control, guaranteed performance control, and fault tolerant tracking control for HFV.

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Hu, K., Chen, F. & Cheng, Z. Fuzzy Adaptive Hybrid Compensation for Compound Faults of Hypersonic Flight Vehicle. Int. J. Control Autom. Syst. 19, 2269–2283 (2021). https://doi.org/10.1007/s12555-019-0474-x

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