针对地基拦截器与空间目标交会这一复杂非线性优化问题,研究了基于改进粒子群算法的弹道快速优化设计方法。根据拦截交会弹道特点,设计了飞行程序优化模型,融合粒子群搜索的随机性和递进搜索的高效性,构建了适用于拦截交会弹道设计这类复杂非线性优化问题的改进粒子群算法。采用该改进粒子群算法进行拦截交会弹道仿真,结果表明,该改进粒子群算法计算精度较高,优化耗时较少,能够实现拦截交会弹道的快速优化设计。

Aiming at the complex nonlinear optimization problems like ground-based interceptors and space target encounter, the trajectory fast optimization design method based on IGPSO was studied. Firstly, the flight program optimum model was designed based on the characters of intercept rendezvous trajectory for launch vehicle. Then, combined the high efficiency of progressive search with randomness of particle swarm search, the IGPSO algorithm was proposed, which was applied to solve the complex nonlinear optimization problem. Finally, the IGPSO algorithm was used to simulate intercept rendezvous trajectory and the results of the simulation experiments indicated that the IGPSO algorithm could efficiently resolve the optimum design problem for the high calculation accuracy and high efficiency in optimization.