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Fault-Tolerant Control Based on LPV-Robust Model Predictive Control for Hypersonic Vehicle

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Proceedings of 2019 Chinese Intelligent Systems Conference (CISC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 594))

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Abstract

A fault-tolerant controller based on robust model predictive control (RMPC) is proposed for hypersonic vehicle with external disturbances and actuator loss of effectiveness faults. Firstly, the polytopic linear parameter-varying (LPV) model is established by Jacobian linearization and tensor-product method. Secondly, considering actuator loss of effectiveness faults and outputs static errors, the augmented faulty model is established. Thirdly, the external disturbances and the faults are transformed into lumped bounded disturbance item. The norm bounded theorem is used to deal with the disturbances. Finally, the fault-tolerant controller is obtained by solving the convex optimization problem under linear matrix inequality (LMI) constraints. Simulation results show that the designed fault-tolerant controller is feasible and effective.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant (No. 61773279).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China

    Xiaohe Yang, Weijie Lv, Xiaofang Wei & Chaofang Hu

Authors
  1. Xiaohe Yang
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  2. Weijie Lv
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  3. Xiaofang Wei
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  4. Chaofang Hu
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Corresponding author

Correspondence to Chaofang Hu .

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Editors and Affiliations

  1. Beihang University, Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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Yang, X., Lv, W., Wei, X., Hu, C. (2020). Fault-Tolerant Control Based on LPV-Robust Model Predictive Control for Hypersonic Vehicle. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_19

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