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Pigeon-inspired optimization applied to constrained gliding trajectories

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Abstract

This paper presents the novel use of pigeon-inspired optimization (PIO) to generate the constrained gliding trajectory for hypersonic gliding vehicles. The velocity-dependent bank angle profile is developed in a quite simple formulation in order to reduce the searching space of the trajectory control command. The end-to-end trajectory and maximum-range trajectory are obtained by the enforced PIO algorithm which serves as an effective tool to deal with the typical path constraints and terminal conditions. Further, the forward and backward reversal logic is proposed to construct approximate footprints that can provide a fast decision in the mission deployment for nominal flights and abort situations. Numerical simulations demonstrate that the improved PIO algorithm is feasible and reliable to generate the constrained gliding trajectory for hypersonic gliding vehicles.

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Acknowledgments

The authors would like to thank the editors and reviewers for their critical review of this manuscript. This study was supported by National Natural Science Foundation of China (Nos: 61273349, 61203223).

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China

    Jiang Zhao & Rui Zhou

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  1. Jiang Zhao
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  2. Rui Zhou
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Correspondence to Jiang Zhao.

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Zhao, J., Zhou, R. Pigeon-inspired optimization applied to constrained gliding trajectories. Nonlinear Dyn 82, 1781–1795 (2015). https://doi.org/10.1007/s11071-015-2277-9

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  • DOI: https://doi.org/10.1007/s11071-015-2277-9

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