电子与控制

快速响应卫星电子系统等寿命设计方法

  • 刘源 ,
  • 沈毅 ,
  • 邢雷 ,
  • 孙兆伟
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  • 哈尔滨工业大学 航天学院, 黑龙江 哈尔滨 150001
刘源男,博士,工程师。主要研究方向:即插即用星载电子系统,可重构星载计算机、高可靠性FPGA航天应用技术。Tel:0451-86416447 E-mail:blue.ocean.hit@gmail.com;沈毅男,博士,教授,博士生导师。主要研究方向:控制科学与工程。 E-mail:shenyi@hit.edu.cn;邢雷男,博士,工程师。主要研究方向:小卫星星载电子系统设计。 E-mail:xinglei@hit.edu.cn;孙兆伟男,博士,教授,博士生导师。主要研究方向:小卫星总体设计。 E-mail:sunzhaowei@hit.edu.cn

收稿日期: 2013-09-03

  修回日期: 2013-11-30

  网络出版日期: 2013-12-10

基金资助

国家自然科学基金(11002040,61273096)

Equal Life Design Method of Operationally Responsive On-board Electronic Systems

  • LIU Yuan ,
  • SHEN Yi ,
  • XING Lei ,
  • SUN Zhaowei
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  • School of Astronautics, Harbin Institute of Technology, Harbin 150001, China

Received date: 2013-09-03

  Revised date: 2013-11-30

  Online published: 2013-12-10

Supported by

National Natural Science Foundation of China (11002040, 61273096)

摘要

与传统卫星不同,快速响应卫星的任务具有很强的时效性,采用传统的按重要程度分配部件可靠性的设计方式,难以在最大程度上降低成本。因此引入工业领域的等寿命设计理念,以预定寿命为基础进行星载电子系统的部件选择和集成,使系统的生命周期与成本成正比,达到“快、智、廉”的目标。进一步,提出了一种基于遗传算法的即插即用星载电子系统等寿命优化方法,通过建立系统的非线性混合整数规划模型,对部件可靠性均方差和价格成本进行优化。此外针对卫星总体方案分配的体积、重量和可靠性约束,为算法设计了归一化满意度函数和Pareto解共享函数。仿真结果表明,算法表现出较好的收敛性和稳定性,在预定寿命期间能够在部件级有效消除可靠性短板,并实现良好的成本控制。

本文引用格式

刘源 , 沈毅 , 邢雷 , 孙兆伟 . 快速响应卫星电子系统等寿命设计方法[J]. 航空学报, 2014 , 35(6) : 1673 -1683 . DOI: 10.7527/S1000-6893.2013.0482

Abstract

Unlike traditional satellites, an operationally responsive satellite has fine timelines. The traditional satellite design flow which assigned components reliability according to their importance can not minimize overall cost. Therefore, the concept of equal life design derived from the field of industrial design is introduced in this paper. It chooses and assembles an onboard electronic system based on its predesigned task period, trying to make the system cost vary in proportion with the satellite's designed life. Then, the paper proposes a satellite electronic system equal life optimization algorithm which can optimize the reliability mean square deviation and cost of onboard electronic components based on a nonlinear mixed integer programming model. Furthermore, considering the system volume, weight and reliability constraints, the normalized satisfaction function, Pareto share function and genetic operators are also designed to improve the algorithm's optimization efficiency. The simulation result shows good convergence and stability of the algorithm, it can not only eliminate a system reliability weak link at the component level, but also effectively reduce cost.

参考文献

[1] Martin M. Modular open network architecture: transitioning plug-and-play to aerospace//IEEE Aerospace Conference, 2013: 1-10.

[2] Victor M, Daniel L, James L, et al. Cell based architecture for adaptive wiring panels: a first prototype[J]. Journal of Aerospace Information Systems, 2013, 10(4): 187-208.

[3] Schaire S. NASA GSFC wallops flight facility[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(2): 76-78.

[4] Li J M. The theoretic and method of pre-design life design and equivalent life design[J]. Machinery Design & Manufacture, 2002(5): 3-5. (in Chinese) 李荐名. 预定寿命设计与等寿命设计的理论及方法研究[J]. 机械设计与制造, 2002(5): 3-5.

[5] Gauthier M A, Alexander S, Yves S. Risk exposure and lag range multipliers of non-anti-captivity constraints in multistage stochastic problems[J]. Mathematical Methods of Operations Research, 2013, 77(3): 393-405.

[6] Chen W C, Chen P C, Wei L C. Modified intelligent genetic algorithm-based adaptive neural network control for uncertain structural systems[J]. Journal of Vibration and Control, 2013, 19(9): 1333-1347.

[7] Assis A F, Vieira L F M, Rodrigues M T R. A genetic algorithm for the minimum cost localization problem in wireless sensor networks//2013 IEEE Congress on Evolutionary Computation (CEC), 2013: 797-804.

[8] Giovannia L D, Massib G, Pezzellab F. An adaptive genetic algorithm for large-size open stack problems[J]. International Journal of Production Research, 2013, 51(3): 514-522.

[9] Deng H, Zhong W C, Sun Z W. Method research of satellite attacking path planning based on genetic algorithm[J]. Journal of Astronautics, 2009, 30(4): 1587-1592. (in Chinese) 邓泓, 仲惟超, 孙兆伟. 基于遗传算法的卫星攻击路径规划方法研究[J].宇航学报, 2009, 30(4): 1587-1592.

[10] Giovannia L D, Massib G, Pezzellab F. An adaptive genetic algorithm for large-size open stack problems[J]. International Journal of Production Research, 2013, 51(3): 682-697.

[11] Jing Z, Bao Y W, Jian G L, et al. Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm[J]. Archives of Civil and Mechanical Engineering, 2013, 13(3): 401-411.

[12] Yang H, Song W P, Han Z H. Multi objective and multi constrained optimization design for a helicopter rotor airfoil[J]. Acta Aeronatutica et Astronautica Sinica, 2012, 33(7): 1218-1226. (in Chinese) 杨慧, 宋文萍, 韩忠华. 旋翼翼型多目标多约束气动优化设计[J]. 航空学报, 2012, 33(7): 1218-1226.

[13] Huang H B, Ma G F, Zhuang Y F,et al. Satellite formation reconfiguration using co-evolutionary particle swarm optimization and pareto optimal solution[J]. Acta Aeronatutica et Astronautica Sinica, 2011, 32(11): 2073-2082. (in Chinese) 黄海滨, 马广富, 庄宇飞, 等. 基于协同进化粒子群和Pareto最优解的卫星编队队形重构方法[J]. 航空学报, 2011, 32(11): 2073-2082.

[14] Himanshu J, Kalyanmoy D. An improved adaptive approach for elitist non-dominated sorting genetic algorithm for many objective optimization[J]. Evolutionary Multi-Criterion Optimization Lecture Notes in Computer Science, 2013, 7811: 307-321.

[15] Zhang H M, Zhang G S. GA-SQP algorithm for solving equilibrium states of hypersonic vehicles[J]. Acta Aeronatutica et Astronautica Sinica, 2012, 33(1): 138-146. (in Chinese) 张红梅, 张国山. 求解高超声速飞行器平衡状态的GA-SQP算法[J]. 航空学报, 2012, 33(1): 138-146.

[16] Abdullah K, David W C, Alice E S. Multi objective optimization using genetic algorithms: a tutorial[J]. Reliability Engineering & System Safety, 2006, 91(9): 992-1007.

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