Reentry trajectory optimization of hypersonic glide vehicle based on improved particle swarm algorithm
Zili Su,
Jisong Zhao,
Jiaolong Liu
Abstract:The reentry process of hypersonic glide vehicle presents a host of intricate constraint issues. A method for optimizing the reentry trajectory of hypersonic glide vehicle is presented to achieve the shortest possible reentry time. The approach utilizes the improved particle swarm optimization (IPSO) algorithm. Firstly, population initialization is performed using the quasi-oppositional differential evolution (QODE) strategy to promote diversity within the population. Then an adaptive adjustment algorithm is de… Show more
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