改进型BP网络PID在电动舵机控制中的应用  

The Application of the Improved PID Control Based BP Neural Network of Brushless DC Motor

作　　者：张元[1] 周长省[1] 郑健[1] 

机构地区：[1]南京理工大学机械工程学院,南京210094

出　　处：《弹箭与制导学报》2011年第6期34-36,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：针对应用中对无刷直流电机位置控制的高精度要求,设计了一种改进的误差反向传播网络PID控制器,实现了对无刷直流电机位置的精确控制。系统融合了神经网络和PID控制算法的优点,适用于直流无刷电机这样的非线性、时变的复杂系统。仿真结果表明,改进后的BP神经网络PID控制器优于常规BP神经网络PID控制器和传统PID控制器,证明了该方法的可行性。An improved BP neural network PID controller system was designed for high precision requirement of actual brushless DC motor position control;the position of brushless DC motor can be precisely controlled.This system combines the merits of neural network and PID controller,and is suitable for complicated brushless DC motor system which contains non-linear and time variable characteristics.The result of simulation illustrate that the improved BP neural network PID controller is better than the traditional BP neural network PID controller and the traditional PID controller.This method＇s feasibility was testified

关 键 词：位置控制 无刷直流电机 误差反向传播神经网络 比例积分微分控制器 仿真 

分 类 号：TJ760.35[兵器科学与技术—武器系统与运用工程]