采用混合遗传算法的有限推力轨道拦截优化  

Finite Thrust Orbit Interception Optimization Using Hybrid Genetic Algorithm

作　　者：李新三 王明建 赵旭阳 方存忠[1] 

机构地区：[1]第二炮兵士官学校,山东青州262500

出　　处：《计算机仿真》2010年第12期20-23,共4页Computer Simulation

摘　　要：在轨道拦截问题中,研究了天基动能拦截器(KKV)的有限推力轨道拦截优化问题。针对在有限推力条件下,确定速度增益变轨方案,提出建立了轨道拦截优化数学模型,并将复形调优算法加入到遗传算法中,利用该混合遗传算法,以发动机燃料消耗质量最小、拦截时间最短和拦截脱靶量最小为综合优化指标,对轨道拦截进行了优化。以太阳同步轨道上的天基KKV拦截GPS卫星轨道上的目标点为例,分析了混合遗传算法用于轨道拦截优化的性能进行了仿真。仿真结果表明,混合遗传算法能有效解决轨道拦截这一复杂非线性多目标优化问题,同时增强了局部搜索能力,提高了计算效率。The finite thrust orbit interception optimization of space-based KKV was considered.With the velocity gain guidance law as orbital transfer scheme,mathematical model was established.Hybrid genetic algorithm was proposed by introducing complex algorithm into conventional genetic algorithm,which was utilized to optimize orbit interception of the interceptor.Integration objectives were the weighted sum of minimum fuel consumption,minimum intercept time and minimum miss distance.Through the simulation which used space-based KKV in Sun-Synchronous orbits to intercept target points in GPS-orbits,optimization performance of HGA was analysed.Simulations validated that HGA could availably solve this complex nonlinear multi-object optimization.Furthermore,local search capacity was enhanced as well as calculational efficiency was improved.

关 键 词：有限推力 轨道拦截 混合遗传算法 多目标优化 

分 类 号：V411.8[航空宇航科学与技术—航空宇航推进理论与工程]