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基于动态罚函数的火星探测器多学科协同优化
柳明星1,2, 张伟1,2, 张恒1,2, 刘华清1
1.上海卫星工程研究所, 上海 201109;2.上海市深空探测技术重点实验室, 上海 201109
摘要:
针对火星探测器飞行距离遥远和飞行环境复杂带来总体设计参数难以优化的问题，建立以遥感性能和总重为综合优化目标的优化模型，考虑探测器的轨道、载荷、电源等分学科，基于协同优化方法建立火星探测器的系统级和学科级优化函数，采用自适应动态罚函数加快优化的收敛速度，最终获得协同一致的优化结果。仿真结果表明：协同优化方法应用于火星探测器总体参数优化的可行性和有效性，可为探测器的总体设计提供技术参考。
关键词:  火星探测器  总体设计  建模  协同优化  动态罚函数
DOI：10.15982/j.issn.2095-7777.2017.03.012
分类号:V423.4
基金项目:
Multidisciplinary Collaborative Optimization of Mars Probe Based on Dynamic Penalty Function
LIU Mingxing1,2, ZHANG Wei1,2, ZHANG Heng1,2, LIU Huaqing1
1.Shanghai Institute of Satellite Engineering, Shanghai 201109, China;2.Shanghai Key Laboratory of Deep Space Exploration Technology, Shanghai 201109, China
Abstract:
Focusing on the system design problem of Mars probe which is far away from the Earth and has the complex flight environment，the optimization function with comprehensive objective combined by coverage rate and ground sample distance was set up. Considering the orbit discipline，the payload discipline and the power discipline，the system-level and discipline-level optimization model of the Mars probe were established based on the cooperative optimization method，thus decomposing the complicated optimization problem into parallel cooperative optimization problems with multiple sub-disciplines. The adaptive dynamic penalty function is used to accelerate the convergence. The numeric results indicate that the collaborative optimization can be successfully applied in the system optimal design of Mars probe.
Key words:  Mars probe  system optimal design  modeling  collaborative optimization  penalty function