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Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints

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Abstract

The design of prescribed performance fuzzy back-stepping tracking control for a flexible air-breathing hypersonic vehicle (FAHV) with actuator constraints is discussed. Fuzzy logic systems (FLSs) are applied to approximate the lumped uncertainty of each subsystem of the FAHV model. Every FLS contains only one adaptive parameter that needs to be updated online with a minimal-learning-parameter scheme. The sliding mode differentiator is introduced to obtain the derivatives of the virtual control laws, which avoid the explosion of the differentiation term in traditional back-stepping control. To further improve the control performance, a prescribed performance function characterizing the error convergence rate, maximum overshoot and steady-state error is utilized for the output error transformation. In particular, novel auxiliary systems are explored to handle input saturation. Fuzzy backstep control has obvious advantages in system robustness, control accuracy and highly real-time. Finally, reference trajectory tracking simulations show the effectiveness of the proposed method regarding air-breathing hypersonic vehicle control applications.

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Acknowledgements

The authors would like to thank the editor and all the anonymous reviewers for their comments, which help to improve the quality of this article. This work was supported by the National Natural Science Foundation of China (No. 61601505).

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Authors and Affiliations

  1. Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, 710072, China

    Hanqiao Huang

  2. Troops of 78092, Chengdu, 610000, China

    Chang Luo

  3. Aeronautics Engineering College, Air Force Engineering University, Xi’an, 710038, China

    Bo Han

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  1. Hanqiao Huang
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  2. Chang Luo
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  3. Bo Han
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Correspondence to Chang Luo.

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Huang, H., Luo, C. & Han, B. Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints. J Intell Manuf 33, 853–866 (2022). https://doi.org/10.1007/s10845-020-01656-0

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  • DOI: https://doi.org/10.1007/s10845-020-01656-0

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