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。
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.