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Adaptive Fuzzy Back-stepping Control of a Flexible Air-breathing Hypersonic Vehicle Subject to Input Constraints

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Abstract

The design of an adaptive fuzzy back-stepping tracking control for flexible air-breathing hypersonic vehicle (FAHV) with actuator constraints is discussed. Fuzzy logic systems (FLSs) are applied to approximate the total uncertainty of FAHV model. The minimal-learning-parameter (MLP) algorithms are applied for FLSs to reduce the quantity of calculation. For the sake of preventing explosion of differentiation term in back-stepping control, the derivatives of virtual control laws can be calculated by sliding mode differentiators. Particularly, the novel auxiliary systems are explored to cope with the inputs saturation. Finally, reference trajectory tracking simulation shows the auxiliary systems have better performances than the existing algorithms when the inputs are saturated.

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Acknowledgments

This work is supported by the Aeronautical Science Foundation of China (Grant no. 20120916006).

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Authors and Affiliations

  1. Air and Missile Defense College, Air Force Engineering University, Xi’an, 710051, China

    Pengfei Wang, Jie Wang, Xiangwei Bu, Chang Luo & Shili Tan

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  1. Pengfei Wang
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Correspondence to Pengfei Wang.

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Wang, P., Wang, J., Bu, X. et al. Adaptive Fuzzy Back-stepping Control of a Flexible Air-breathing Hypersonic Vehicle Subject to Input Constraints. J Intell Robot Syst 87, 565–582 (2017). https://doi.org/10.1007/s10846-016-0438-9

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  • DOI: https://doi.org/10.1007/s10846-016-0438-9

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