卫星有效载荷的多目标多学科设计优化研究

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。...

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Published in计算机工程与科学 Vol. 37; no. 12; pp. 2276 - 2281
Main Author 赵宏伟 刘波 谢广钱 刘恒
Format Journal Article
LanguageChinese
Published 西安空间无线电技术研究所,陕西西安,710100 2015
Subjects
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ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2015.12.013

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Abstract 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。
AbstractList V411.8; 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.
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。
Author 赵宏伟 刘波 谢广钱 刘恒
AuthorAffiliation 西安空间无线电技术研究所,陕西西安710100
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XIE Guang-qian
ZHAO Hong-wei
LIU Heng
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DocumentTitleAlternate Multi-objective and multidisciplinary design optimization of satellite payload
DocumentTitle_FL Multi-objective and multidisciplinary design optimization of satellite payload
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Issue 12
Keywords 多目标遗传算法
multi-objective genetic algorithm
multidisciplinary design optimization
reliability
多学科优化
可靠性
collaborative optimization
协同优化
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Notes 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
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Snippet 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...
V411.8; 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...
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SubjectTerms 协同优化
可靠性
多学科优化
多目标遗传算法
Title 卫星有效载荷的多目标多学科设计优化研究
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