Multidisciplinary optimization in earth observation satellite main parameters
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摘要: 针对对地观测卫星总体参数设计问题,建立了以对地观测性能最佳为目标的多学科优化模型,考虑姿轨控制、电源、结构、推进、有效载荷5个分系统的设计变量和相应约束条件,并考虑运载火箭对卫星设计的约束条件,通过经验公式建立分析模型.采用协同优化方法,利用外点罚函数法将系统级优化问题转化为无约束优化问题以改善协同优化系统级的数值缺陷,建立了多学科设计优化框架.计算结果表明通过优化可提升卫星的对地观测性能,验证了该方法的合理性.建模思路与优化方法可望用于更贴合工程实际的卫星参数设计.Abstract: A model of multidisciplinary design optimization (MDO) was established for the system parameter design problem of an earth observation satellite. It takes the observation performance as the objective of optimization, while the design variables and constraints are dealt with five main subsystems including attitude and orbit control, power, structures, propulsion, payload, besides constraints made by launch vehicle and the analysis modules modeled by empirical formula. A multidisciplinary design optimization framework was established by using the collaborative optimization (CO) method, and exterior penalty technique was using to change the constrained question into an unconstrained question during system level optimization, so as to improve numerical difficulties in CO method application. The results show that the earth observation performance can be improved by this optimization method and the method was efficient. The modeling and optimization method of the work can be expected to apply to practical engineering satellite parameters design.
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Key words:
- earth observation satellites /
- design /
- optimization
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[1] Braun R D. Collaborative optimization: an architecture for large-scale distributed design .California: Department of Aeronautics and Astronautics, Stanford University, 1996 [2] 裴晓强, 黄海. 协同优化在卫星多学科设计优化中的初步应用[J].宇航学报, 2006, 27(5): 1054-1058 Pei Xiaoqiang, Huang Hai. Multidisciplinary design optimization of satellites using collaborative optimization[J]. Journal of Astronautics, 2006, 27(5):1054-1058 (in Chinese) [3] Wertz J R, Larson W J. Space mission analysis and design [M].Third Edition. Torrance, California: Microcosm Press, 1999 [4] 陈琪锋.飞行器分布式协同进化多学科设计优化方法研究 .长沙:国防科学技术大学,宇航科学与工程系,2003 Cheng Qifeng. Distributed coevolutionary multidisciplinary design optimization methods for flying vehicles . Changsha: Department of Aerospace Science and Engineering, National University Defense Technology,2003(in Chinese) [5] Alexandrov N M, Kodiyalam S. Initial results of an MDO method evaluation study .AIAA-98-4884, 1998 [6] Kodiyalam S. Evaluation of methods for multidisciplinary design optimization (MDO),Phase I . NASA/CR-1998-208716, 1998 [7] Braun R, Gage P, Kroo I, et al. Implementation and performance issues in collaborative optimization .AIAA-96-4017, 1996
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