基于粒子群算法的导弹飞行控制系统设计

Design of Missile's Flight Control System Based on PSO Algorithm

针对反坦克导弹鲁棒飞行控制系统设计问题,提出了一种基于粒子群算法的鲁棒飞行控制律设计方法。在使用μ综合方法设计反坦克导弹控制律时,采用粒子群算法优化鲁棒性能加权函数,解决了加权函数难以选择的问题。仿真结果表明,采用粒子群算法的μ综合方法设计的反坦克导弹飞行控制律具有较强的鲁棒性和更好的指令跟踪能力。

To solve the problem how to design the robust flight control system of the anti-tank missile, a design method based on the Particle Swarm Optimization（PSO） algorithm is proposed in this paper. When theμ-synthesis method is used to design the control law of the anti-tank missile, the weighting functions are optimized by the PSO algorithm. In this way, the difficult problem that the weighting functions are hard to choose is solved. The simulation shows that the anti-tank missile＇ s control law designed by theμ-synthesis method based on the PSO algorithm is robust, and can follow the desired command response more precisely.