Low thrust gravity assist trajectory optimization based on hybrid method

Zunhui Zhao*, Haibin Shang, Pingyuan Cui, Xiangyu Huang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

The application and advantage of low thrust propulsion system has been validated in practical mission launch even though the trajectory design difficulty is increased. The trajectory optimization problem brought by the use of low thrust propulsion in conjunction with gravity assist is researched. This paper proposes a hybrid technique for solving the strong nonlinear and multiple constraints optimal control problem using a hybrid technique. First, a nonlinear programming problem is proposed by abandoning the terminal constraints brought by Pontryagin maximum principle and treating costates as optimization variables; Then an adjoint control transformation is used for converting costate variables to other variables partially which possess actual bounds and physical meaning; Finally, differential evolution algorithm is employed for searching the initial values of nonlinear programming problem for local accurate optimization. Related low thrust gravity assist trajectories to outer planets by various gravity assists are designed for demonstrating the effectiveness of the proposed hybrid technique.

源语言英语
主期刊名2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
903-908
页数6
DOI
出版状态已出版 - 2012
活动2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 - Nanjing, 中国
期限: 18 10月 201220 10月 2012

出版系列

姓名2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012

会议

会议2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
国家/地区中国
Nanjing
时期18/10/1220/10/12

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引用此

Zhao, Z., Shang, H., Cui, P., & Huang, X. (2012). Low thrust gravity assist trajectory optimization based on hybrid method. 在 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 (页码 903-908). 文章 6463302 (2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012). https://doi.org/10.1109/ICACI.2012.6463302