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Adaptive Fuzzy Finite-Time Constraint Control for Attitude Tracking of Rigid Spacecrafts

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Proceedings of 2021 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 804))

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Abstract

This article proposes an adaptive fuzzy finite-time constraint control scheme for attitude tracking of rigid spacecrafts with inertia uncertainties and external disturbances. A novel modified prescribed performance function (MPPF) is constructed for characterizing the convergence rate and steady state of the attitude tracking error, such that the tracking error can converge to a prescribed small region within a finite time. Fuzzy logic systems (FLSs) are used to approximate the unknown and nonlinear functions of the spacecraft system. Then, a finite-time adaptive backstepping controller is designed to improve the error convergence performance, and the singularity problem caused by the differentiation of the virtual control can be avoided by the presented controller. Finally, the simulations are given to show the effectiveness of the proposed scheme.

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Acknowledgment

The authors would thank the support from the National Natural Science Foundation (NNSF) of China under Grant Nos. 61973274, and the Key Laboratory Open Project Fund under Grant GDSC202010.

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Authors and Affiliations

  1. College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China

    Shuzong Xie & Qiang Chen

  2. Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650093, China

    Jing Na

  3. School of Automation, Qingdao University, Qingdao, 266071, China

    Shubo Wang

Authors
  1. Shuzong Xie
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  2. Qiang Chen
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  3. Jing Na
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  4. Shubo Wang
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Corresponding author

Correspondence to Qiang Chen .

Editor information

Editors and Affiliations

  1. School of Automatic Science and Electrical Engineering, Beihang University, Beijing, China

    Yingmin Jia

  2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

  3. School of Mechanical Engineering and Automation, Beihang University, Beijing, China

    Yongling Fu

  4. Beijing Institute of Precision Mechatronics and Controls, Beijing, China

    Zhiyuan Yu

  5. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, China

    Song Zheng

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Xie, S., Chen, Q., Na, J., Wang, S. (2022). Adaptive Fuzzy Finite-Time Constraint Control for Attitude Tracking of Rigid Spacecrafts. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 804. Springer, Singapore. https://doi.org/10.1007/978-981-16-6324-6_41

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