基于粒子群算法的导弹PID控制参数选择

Optimization of Missile PID Controller Parameters Based on Particle Swarm Optimization Algorithm

PID控制在导弹控制系统的设计中得到了较多的应用,但PID控制器的性能依赖于其参数的整定和优化。利用粒子群算法对控制器的参数进行优化,并对俯仰通道控制系统进行了仿真研究,结果表明,攻角和俯仰角速度都取得了较好的效果,当气动参数具有不确定性时,效果依然较好,验证了方法的有效性。

PID control is widely used in the design of missile control system, but the performance of PID controller de- pends on setting and optimizing its parameters. In this paper, the parameters of the controller are optimized with particle swarm optimization algorithm, and the pitch channel control system is studied by simulation.The results show that the at- tack angle and the pitch angular rate are both good, when the aerodynamic parameters are uncertain, the effect is still good, which validates the effectiveness of the method.