卫星有效载荷的多目标多学科设计优化研究  

Multi-objective and multidisciplinary design optimization of satellite payload

作　　者：赵宏伟[1] 刘波[1] 谢广钱[1] 刘恒[1] 

机构地区：[1]西安空间无线电技术研究所,陕西西安710100

出　　处：《计算机工程与科学》2015年第12期2276-2281,共6页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(61201089)

摘　　要：在卫星有效载荷系统研究中,实施多目标多学科优化的可行性设计。首先,分析了开展卫星有效载荷多学科设计优化的关键技术。建立了包含天线、转发器、数据传输、可靠性、成本和质量的多学科分析模型。然后,应用多目标遗传算法对某卫星有效载荷的可靠性和成本进行多目标设计优化,获得最优解集。最后,运用多学科协同优化结合遗传算法进行可靠性单目标设计优化。研究结果表明:有效载荷的多目标多学科设计优化全面考虑了多个学科之间的关系,设计人员可按需选择其满意的优化结果,大幅提高设计效率;协同优化方法有助于实现学科自治、并行设计,提高设计的灵活性和缩短设计周期。We present an approach to realize multi-objective and multidisciplinary design optimization （MDO） of satellite payload. We first analyze the key techniques in multi-objective and multidisciplinary design optimization of satellite payload system design, and establish multidisciplinary analysis models including antennas, transponders, data transmission, reliability, costs and qualities. Then multi objective genetic algorithm is adopted to optimize the reliability and cost of the satellite payload system and the Pareto optimal set is obtained. Collaborative optimization which is one of the best feasible multidisciplinary design optimization approaches is integrated with the genetic algorithm to carry out the reliability optimization of single objective design. Results show that relationship among different disciplines are well considered during the multi-objective and multidisciplinary design optimization. Designers can choose satisfactory optimization results from the Pareto set according to their own specific requirements, design efficiency is therefore significantly improved. Collaborative optimization can help realize discipline autonomy and parallel design, improve design flexibility and reduce design cycle.

关 键 词：多学科优化 协同优化 多目标遗传算法 可靠性 

分 类 号：V411.8[航空宇航科学与技术—航空宇航推进理论与工程]