• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (10): 133-142.doi: 10.3901/JME.2018.10.133

• 运载工程 • 上一篇    下一篇

基于约束EGO的对地观测卫星多学科设计优化

龙腾1,2, 刘建2, 陈余军3, 史人赫2, 袁斌2, 刘莉1,2   

  1. 1. 北京理工大学飞行器动力学与控制教育部重点实验室 北京 100081;
    2. 北京理工大学宇航学院 北京 100081;
    3. 中国空间技术研究院 北京 100094
  • 收稿日期:2017-06-15 修回日期:2017-12-10 出版日期:2018-05-20 发布日期:2018-05-20
  • 通讯作者: 龙腾(通信作者),男,1982年出生,博士,教授。主要研究方向为飞行器总体设计、多学科设计优化理论与应用。E-mail:tenglong@bit.edu.cn
  • 作者简介:刘建,男,1989年出生,硕士研究生。主要研究方向为飞行器总体设计、多学科优化理论与应用。E-mail:liujianbit@163.com;陈余军,男,1981年出生,博士。主要研究方向为航天器总体设计与多学科优化。E-mail:chenyj1001@163.com;史人赫,男,1990年出生,博士研究生。主要研究方向为飞行器总体设计、多学科优化理论与应用。E-mail:srenhe@163.com;袁斌,男,1994年出生,硕士研究生。主要研究方向为飞行器总体设计、多学科优化理论与应用。E-mail:yuanbin93@163.com;刘莉,女,1964年出生,博士,教授,博士研究生导师。主要研究方向为飞行器总体设计、飞行器结构分析与设计。E-mail:liuli@bit.edu.cn
  • 基金资助:
    国家自然科学基金(51675047,11372036,51105040)和航空科学基金(2015ZA72004)资助项目。

Multi-Disciplinary Design Optimization of Earth Observation Satellite Based on Constrained EGO

LONG Teng1,2, LIU Jian2, CHEN Yujun3, SHI Renhe2, YUAN Bin2, LIU Li1,2   

  1. 1. Key Laboratory of Dynamics and Control of Flight Vehicle of Ministry of Education, Beijing Institute of Technology, Beijing 100081;
    2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081;
    3. China Academy of Space Technology, Beijing 100094
  • Received:2017-06-15 Revised:2017-12-10 Online:2018-05-20 Published:2018-05-20

摘要: 在对地观测卫星的总体设计阶段,为提高卫星性能及设计效率,建立以卫星覆盖幅宽和地面分辨率综合指标为目标的数学模型进行优化。考虑轨道、控制、有效载荷、电源以及结构5个分系统的设计变量及约束条件并梳理存在的耦合关系,建立较为详尽的多学科设计优化(Multidisciplinary design optimization,MDO)分析模型,并采用定点迭代法进行多学科分析(Multidisciplinary analysis,MDA)。引入自适应罚函数法处理约束条件,提出一种约束高效全局优化算法(C-EGO)。将C-EGO应用于标准工程测试算例,并与遗传算法(Genetic algorithm,GA)和考虑约束的追峰采样算法(Constraint importance mode pursuing sampling,CiMPS)代理模优化方法的优化结果进行比较,C-EGO显示出较高的优化效率。最后,将C-EGO应用到对地观测卫星的多学科设计优化问题,与遗传算法(GA)和CiMPS相比,C-EGO能够高效地获取满足复杂约束的最优设计方案。研究结果表明C-EGO求解能够较高效地求解对地观测卫星MDO问题,所建立的卫星多学科设计优化模型与提出的高效的C-EGO方法为卫星MDO研究提供了参考。

关键词: 代理模型, 对地观测卫星, 多学科设计优化, 高效全局优化, 自适应罚函数

Abstract: In the conceptual design phase of earth observation satellite, a mathematical model aimed at realizing optimal aggregative indicators of satellite coverage breadth and ground resolution is built to improve satellite's performance and design efficiency for optimization. A detailed multidisciplinary design optimization(MDO) analysis model is set up by considering the design variable and constraints of five sub-systems:orbit, control, payload, power and structure. Meanwhile, the existing coupling relationship is teased out and the fixed-point iteration method is employed for multidisciplinary analysis(MDA). In order to solve optimization problem with constraints, a constrained efficient global optimization method integrated with an adaptive penalty function is proposed. The optimization strategy is validated by using two benchmark engineering optimization test problems. Compared with genetic algorithm(GA) and constraint importance mode pursuing sampling(CiMPS) metamodel method, constraint efficient global optimization(C-EGO) can efficiently obtain the optimal design scheme to satisfy complex constraints. At last, the optimization problem of earth observation satellite is optimized by C-EGO, and compared with GA and CiMPS, C-EGO exhibits obvious efficiency merit. The results show that C-EGO can efficiently solve earth observation satellite MDO problem. The proposed satellite MDO models and efficient C-EGO method provide valuable references for satellite MDO study. *

Key words: adaptive penalty function, earth observation satellite, efficient global optimization, metamodel, multidisciplinary design optimization

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