基于动态罚函数的火星探测器多学科协同优化  

Multidisciplinary Collaborative Optimization of Mars Probe Based on Dynamic Penalty Function

作　　者：柳明星[1,2] 张伟[1,2] 张恒[1,2] 刘华清[1] LIU Mingxing;ZHANG Wei;ZHANG Heng;LIU Huaqing(Shanghai Institute of Satellite Engineering,Shanghai 201109,China;Shanghai Key Laboratory of Deep Space Exploration Technology,Shanghai 201109,China)

机构地区：[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

出　　处：《深空探测学报》2017年第3期276-280,292,共6页Journal Of Deep Space Exploration

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。Focusing on the system design problem of Mars probe which is far away from the Earth and has the complex flightenvironment,the optimization function with comprehensive objective combined by coverage rate and ground sample distance wasset up.Considering the orbit discipline,the payload discipline and the power discipline,the system-level and discipline-leveloptimization model of the Mars probe were established based on the cooperative optimization method,thus decomposing thecomplicated optimization problem into parallel cooperative optimization problems with multiple sub-disciplines.The adaptivedynamic penalty function is used to accelerate the convergence.The numeric results indicate that the collaborative optimization canbe successfully applied in the system optimal design of Mars probe.

关 键 词：火星探测器 总体设计 建模 协同优化 动态罚函数 

分 类 号：V423.4[航空宇航科学与技术—飞行器设计]