基于改进鸽群算法的气动捕获轨道优化

doi:10.7527/S1000-6893.2020.24292

电子电气工程与控制

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基于改进鸽群算法的气动捕获轨道优化

吴爱国, 巩志浩

哈尔滨工业大学(深圳), 机电工程与自动化学院, 深圳 518055

收稿日期:2020-05-20 修回日期:2020-05-30 出版日期:2020-09-15 发布日期:2020-06-18
通讯作者: 吴爱国 E-mail:agwu@163.com
基金资助:
国家自然科学基金优秀青年科学基金（61822305）；中央高校基本科研业务费专项资金（HIT.BRETIV.201907）；深圳市基础研究学科布局项目（JCYJ20180507183437860，JCYJ20170811160715620）；广东省自然科学基金（2020A1515011091，2019A151-5011576）

Optimization of aerocapture orbit based on improved pigeon inspired optimization algorithms

WU Aiguo, GONG Zhihao

School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China

Received:2020-05-20 Revised:2020-05-30 Online:2020-09-15 Published:2020-06-18
Supported by:
National Natural Science Foundation of China for Excellent Young Scholars (61822305);the Fundamental Research Funds for the Central Universities (HIT.BRETIV.2019); Shenzhen Municipal Project for Discipline Layout (JCYJ20180507183437860, JCYJ20170811160715620); Natural Science Foudation of Guangdong Province (2020A1515011091, 2019A1515011576)

摘要/Abstract

摘要： 针对火星探测器的气动捕获轨道，提出了一种改进的鸽群算法对气动捕获轨道进行优化。首先，考虑成功进行气动捕获所要求的终端约束和过程约束，根据从捕获轨道进行轨道转移进入目标轨道所需的速度增量，提出了进行捕获轨道优化的最优性能指标。然后，针对原始鸽群算法存在的一些不足，提出一种改进算法，并对改进算法的参数取值进行了分析。最后，基于大气内飞行的动力学方程，将气动捕获轨道优化问题转化为多参数优化问题，利用所提出的改进鸽群算法对气动捕获轨道进行优化，并通过仿真实例验证该算法的有效性。

关键词: 火星探测器, 气动捕获轨道, 轨道优化, 改进鸽群算法, 多参数优化

Abstract: An improved pigeon-inspired algorithm is proposed to optimize the aerocapture orbits of Mars explorers. The terminal and process constraints imposed by successful aerocapture are first analyzed, followed by the introduction of an appropriate performance index for the optimization of the capture orbit according to the speed increment required by the orbit transfer from the capture orbit to the target orbit. Then, to overcome the shortcomings of the original pigeon-inspired algorithm, an improved version is proposed by introducing an exponential function. The functions of the parameters in the improved algorithm are analyzed. Finally, based on the dynamic equations of flight in the atmosphere, the aerocapture orbital optimization problem is transformed into a multi-parameter optimization problem which is solved by the proposed improved pigeon inspired algorithm. The effectiveness of this algorithm is verified by a simulation example.

Key words: Mars explorers, aerocapture orbital, orbital optimization, improved pigeon inspired optimization algorithm, multi-parameter optimization

中图分类号:

吴爱国, 巩志浩. 基于改进鸽群算法的气动捕获轨道优化[J]. 航空学报, 2020, 41(9): 324292-324292.

WU Aiguo, GONG Zhihao. Optimization of aerocapture orbit based on improved pigeon inspired optimization algorithms[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(9): 324292-324292.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于改进鸽群算法的气动捕获轨道优化

Optimization of aerocapture orbit based on improved pigeon inspired optimization algorithms

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