神经网络控制的两变频调速电机系统

Neural Network Control of Two-motor Variable Frequency Speed-regulating System

在对由两台感应电机和变频器组成的变频调速系统数学模型分析的基础上,设计了一种组合的神经网络控制器,包括基于对角回归神经网络(Diagonal Recurrent Neural Network,简称DRNN)的自整定PID控制器和自适应神经元解耦补偿器,并将其应用于两变频调速电机系统的同步控制中。实验结果表明,采用神经网络控制方法可以实现系统中速度和张力的解耦,系统具有良好的动静态性能。

On the basis of mathematic model analysis of variable frequency speed-regulating system composed of two AC induction motors and transducers,a combined controller including self-tunning PID controller and neuron decoupling compensator is designed and applied into the synchronous control of two-motor variable frequency speed-regulating system. The experimental results prove that the system is decoupled based on neural network control with better dynamic and static characteristics.