基于GA的DRNN-PID算法在多电机系统中的应用  

Application of DRNN-PID algorithm based on GA in multi-motor synchronization system

作　　者：王智琳[1] 李彦[1] 刘金保[1] 

机构地区：[1]江苏科技大学,江苏镇江212003

出　　处：《电子设计工程》2012年第1期54-56,59,共4页Electronic Design Engineering

摘　　要：对于多变量非线性强耦合的多电机同步控制系统,难以建立精确数学模型并施加有效控制的缺陷,文中采用基于遗传算法的对角递归神经网络(DRNN)的PID控制算法,以3台电机的速度张力系统为对象,对其进行控制。通过实验表明,该算法没有一般的神经网络PID控制算法易陷入局部极值等缺陷,控制效果良好。For the multi-motor synchronization control system of multi-variable,nonlinear and strong coupling characters,it＇s difficult to build an accurate mathematical model and exert effective control on the system.So DRNN-PID decoupling control based on GA is proposed,which adopted three motors speed tension system as the control object.The experimental results demonstrate that the method is stable and has good performance.What＇s more,this algorithm avoids drawbacks such as most of the neural network PID control algorithm easily fall into the local extremum and other defects.

关 键 词：对角递归神经网络(DRNN) 遗传算法(GA) 实数编码 张力控制 

分 类 号：TP36[自动化与计算机技术—计算机系统结构]