摘要
防空导弹随动战斗部在高速转动时存在干扰和大过载情况,伺服电机摩擦的产生,系统具有严重的非线性特点,现有的PID和模糊神经元自适应PID控制难以满足快速准确的控制要求,针对上述问题,提出了一种模糊-单神经元PID切换控制策略,结合了传统PID、单神经元网络和模糊控制的优点,在控制前期误差较大的时候采用模糊控制,在控制后期采用单神经元PID控制,并引入切换因子函数来减小了切换冲击。仿真结果显示,改进控制策略提高了随动系统的跟踪精度和速度,克服了非线性问题,满足了随动定向战斗部的工作要求。
Servo aimable warhead of air-defense missile has nonlinear characteristics because of the interference,high overload and friction when it is in high speed rotation. Traditional PID and fuzzy neuron adaptive PID control is difficult to meet the control requirement. Aiming at this problem,a fuzzy single-neuron PID switching control is designed. This new method has the advantages of traditional PID and single neuron network and fuzzy control. In the early stage of control while error is bigger when fuzzy control is primary,oppositely,single neuron PID control is primary. And then the switching factor function is introduced to reduce the switching impact. Simulation results showed that,compared with the traditional PID and fuzzy neuron adaptive PID control,the proposed control method has better performance in precision and velocity,it solves the nonlinear problem,and it also meets the work requirements of servo aimable warhead.
出处
《计算机仿真》
CSCD
北大核心
2015年第3期38-41,99,共5页
Computer Simulation
