基于PSO算法的自动驾驶仪控制参数设计

针对自动驾驶仪控制器参数设计问题,提出一种基于PSO算法的导弹自动驾驶仪参数整定方法并对该方法所整定的控制器参数进行仿真验证.该方法在自动驾驶仪俯仰通道Simulink建模基础上,定义一个包含系统时域指标和频域指标项的适应度函数,根据控制系统对快速性和稳定性的要求,对各项指标进行适当加权,采用PSO算法对自动驾驶仪进行优化设计,实现了自动驾驶仪的控制参数整定.应用本算法对大量特征点的优化设计,均取得了良好的线性化设计结果,并对其进行了仿真验证,亦能满足仿真要求.仿真实验表明了该算法用于控制参数优化的有效性和优越性,有一定工程应用价值.

Control Parameter Design of Autopilot Based on Particle Swarm Optimization Algorithm

In this paper, a parameter tuning method based on Particle Swarm Optimization which is used for optimizing the parameters of aircraft flight control system is proposed. To test the validity of this method,simulations on autopilot pitch flight control system are performed. Based on the simulink of Matlab, a model of the pitch flight control system of autopilot is built. Then a fitness function containing terms of time and frequency response of the system is defined, and the terms of time and frequency response is properly weighted according to the requirement of celerity and stability. The particle swarm optimization algorithm is used in the optimization of autopilot controllers so that automatic tuning of the autopilot controlling parameters can be achieved. Numerical simulations show that the algorithm is effective and has excellent performance, and it is valuable for engineering application.