模拟复合正交神经网络控制器在直流调速系统中的应用

在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络,并用于直流双闭环调速系统中。控制器采用模拟复合正交神经网络的直接自适应控制方法,并对带有负载干扰的直流双闭环调速系统作了PI控制与神经网络控制的仿真实验。仿真结果表明,相对于常规PI控制器,该神经网络控制器具有自学习,自适应功能,速度跟踪获得了满意的控制效果。该模拟神经控制器能用于直流与交流调速系统中。

Application of analog compound orthogonal neural network controller in DC speed adjusting system

This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.PI and neural network controlled double closed-loop DC speed governing system simulations are performed respectively with load disturbance.The results show that the neutral network controller has shelf-learning and self-adaptive functions,and has better control effect in speed tracking,compared with traditional PI controller.The analog neutral controller can be applied to DC and AC speed governing system.