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基于粒子群算法的导弹PID控制参数选择
引用本文:吴华丽,吴进华,李泽雪.基于粒子群算法的导弹PID控制参数选择[J].导航定位于授时,2015(01):21-24.
作者姓名:吴华丽  吴进华  李泽雪
作者单位:海军航空工程学院控制工程系,海军航空工程学院控制工程系,海军航空工程学院控制工程系
基金项目:海军航空工程学院青年科研基金资助项目
摘    要: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。

关 键 词:导弹PID控制  参数选择  粒子群算法  优化

Optimization of Missile PID Controller Parameters Based on Particle Swarm Optimization Algorithm
WU Hua-li,WU Jin-hua and LI Ze-xue.Optimization of Missile PID Controller Parameters Based on Particle Swarm Optimization Algorithm[J].Navigation Positioning & Timing,2015(01):21-24.
Authors:WU Hua-li  WU Jin-hua and LI Ze-xue
Institution:Dept. of Control engineering, Naval Aeronautical and Astronautical University,Dept. of Control engineering, Naval Aeronautical and Astronautical University and Dept. of Control engineering, Naval Aeronautical and Astronautical University
Abstract:PID control is widely used in the design of missile control system, but the performance of PID controller depends 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 attack 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.
Keywords:Missile PID control  Parameter selection  Particle swarm optimization algorithm  Optimization
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