Abstract
The novel hypersonic vehicle (HV) is one of the mainstream research directions in the international aerospace field in the 21st century. In order to reduce the difficulty of the overload design when the novel HV flight in endo-atmosphere and improve the versatility of trajectory optimization algorithms, the longitudinal trajectory design and optimization methods of a novel HV in ascent phase based on an adaptive particle swarm optimization (APSO) algorithm was studied in this paper. A longitudinal trajectory design method in ascent phase based on multiple maneuvers at AOA control variable with Mach as the independent variable was proposed. In order to optimize multiple unknown design parameters that determine the trajectory change more universally and efficiently, an APSO algorithm was proposed to reduce the undetermined parameters by introducing distance measure function and adaptive penalty function strategy. A simulation based on the HV demonstrates the rationality and validity of the proposed methods.
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Xu, S., Li, G., Jia, Q., Zhai, S., Li, Q. (2023). Design and Optimization of Ascent Trajectory for a Novel HV Based on APSO Algorithm. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_469
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DOI: https://doi.org/10.1007/978-981-19-6613-2_469
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