在轨拦截器停泊轨道优化研究

Research on parking orbit optimization of on-orbit interceptor

研究了在轨拦截器停泊轨道优化问题。首先,建立了基于模矢法的单脉冲拦截优化模型作为停泊轨道拦截的基础;在研究粒子构造、正交种群产生、粒子适应度计算及正交搜索策略的基础上,针对停泊轨道优化的特点,以覆盖空间航天器目标数及拦截覆盖目标所需总能量为优化指标,建立了基于正交粒子群算法的停泊轨道优化模型。仿真结果表明了模型的有效性,能够为在轨拦截器的优化配置提供技术支撑。

Parking orbit optimization of the on-orbit interceptor was researched in the paper. Firstly, theoptimization model for single-pulse intercepting was established based on Pattern search, which providedthe foundation for parking orbit optimization. According to the characteristics of parking orbit optimiza-tion, the numbers of targets intercepted and the sum of pulses to intercept the converged targets weretaken as optimizing indexes. The optimization model was established based on orthogonal particle swarmalgorithm on the basis of studying on the particle structure, the orthogonal population, particle fitness andthe orthogonal search strategy. Simulation results show that the model is effective and can provide tech-nology support for allocation of on-orbit interceptor.