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A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation

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  • Xueyun Wang

    (School of Instrument Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
    Hefei Innovation Research Institute, Beihang University, Hefei 230012, China)

  • Yifan Li

    (School of Instrument Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China)

  • Jingjuan Zhang

    (School of Instrument Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
    Hefei Innovation Research Institute, Beihang University, Hefei 230012, China)

Abstract

A novel integrated guidance and control (IGC) scheme for a Re-entry Hypersonic Vehicle (RHV) is proposed with the capabilities of online aerodynamic coefficient estimation based on an Unscented Kalman Filter and online trajectory generation based on the Gaussian pseudospectral method. A linear quadratic regulator is adopted for trajectory tracking guidance and a second-layer sliding mode controller is designed for attitude control. The variation of lift and drag coefficients are modeled and estimated online, based on which a new trajectory can be generated. The commands of trajectory generation are set as moments of actuators and their extremums pose more constraints on the rate and acceleration of flow angles. Comprehensive simulations are conducted and comparable IGC performances with normal conditions are obtained under large aerodynamic coefficient errors according to online generated trajectory, which proves the effectiveness and advantages of the proposed IGC scheme.

Suggested Citation

  • Xueyun Wang & Yifan Li & Jingjuan Zhang, 2021. "A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation," Mathematics, MDPI, vol. 9(2), pages 1-19, January.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:2:p:172-:d:481193
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    References listed on IDEAS

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    1. Xueyun Wang & Jingjuan Zhang & Wei Wang & Pengyu Gao, 2014. "An Innovative Architecture of UTC GPS/INS System with Improved Performance under Severe Jamming," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-8, March.
    2. Xueyun Wang & Kui Li & Pengyu Gao & Wei Wang, 2014. "Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, October.
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