CAJ | 학술논문

为使拦截武器有效拦截目标，将直接多重打靶算法与微粒群算法相结合，设计了一种基于微粒群算法的中制导弹道优化算法。该算法借鉴直接多重打靶算法基本思想，将状态空间与参数空间分别进行分解与分段，并在此基础上结合中制导末端条件构建性能指标函数，将弹道优化问题转化为多目标优化问题；基于对指标函数之间依赖性的分析，在求解过程中将多目标优化分解为参数层和指标层优化两部分，采用微粒群算法对其进行分层优化求解。仿真研究表明，该优化算法能够对弹道进行有效优化。
위사란절무기유효란절목표，장직접다중타파산법여미립군산법상결합，설계료일충기우미립군산법적중제도탄도우화산법。해산법차감직접다중타파산법기본사상，장상태공간여삼수공간분별진행분해여분단，병재차기출상결합중제도말단조건구건성능지표함수，장탄도우화문제전화위다목표우화문제；기우대지표함수지간의뢰성적분석，재구해과정중장다목표우화분해위삼수층화지표층우화량부분，채용미립군산법대기진행분층우화구해。방진연구표명，해우화산법능구대탄도진행유효우화。
To achieve the maximum kill probability in the target interception,the multiple shooting algorithm and the particle swarm optimization were combined,and a particle swarm optimization (PSO ) algorithm was presented based on optimization algorithm of midcourse guidance trajectory.According to the idea of the multiple shooting algorithm,the proposed algorithm trans-formed the trajectory optimization to a multi-objective optimization problem by means of state space decomposition and endpoint constrain based on performance index.The multi-objective opti-mization problem was transformed to the optimization of parameter and performance index by an-alyzing the reliability between the two,and the PSO was employed to deal with the problem.The simulation result shows that the trajectory can be effectively optimized by the proposed algo-rithm.