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Volume 41 Issue 5
May  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(5): 864-870.
ZHAO Jiang, ZHOU Rui, ZHANG Chaoet al. Predictor-corrector reentry guidance satisfying no-fly zone constraints[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 864-870. doi: 10.13700/j.bh.1001-5965.2014.0488(in Chinese)
Citation: ZHAO Jiang, ZHOU Rui, ZHANG Chaoet al. Predictor-corrector reentry guidance satisfying no-fly zone constraints[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 864-870. doi: 10.13700/j.bh.1001-5965.2014.0488(in Chinese)
shu

Predictor-corrector reentry guidance satisfying no-fly zone constraints

doi: 10.13700/j.bh.1001-5965.2014.0488
  • 1.

    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. National Key Laboratory of Experimental Physics and Computational Mathematics, Beijing 100076, China

  • Received Date: 01 Aug 2014
  • Rev Recd Date: 26 Sep 2014
  • Publish Date: 20 May 2015
    Abstract
  • To enforce the lateral maneuverability of the reentry gliding flight, a predictor-corrector guidance method satisfying the no-fly zone constraints was proposed for the lifting hypersonic reentry vehicles. First, the longitudinal guidance was developed by the prediction of the landing error and the correction of the guidance command. The downrange was modified in real time by updating the magnitude of the bank angle. Then, a new handoff mechanism for the bank angle reversal logic was designed for the lateral guidance. The maneuver of the lateral motion was performed by employing the heading angle error corridor and the heading angle orienting area. Based on the CAV-H model, the numerical simulations show that the no-fly zone constraints can be satisfied by the predictor-corrector guidance method which is independent of the standard reentry trajectory. The Monte Carlo simulation results of the reentry gliding guidance with random initial dispersions and errors also demonstrate the robustness of the proposed algorithm.

     

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