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A Servo System Control Research Based on Fuzzy CMAC

机译:基于模糊CMAC的伺服系统控制研究

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摘要

The conventional PID controller for servo system can hardly restrain torque disturbance caused by friction and load efficiently,and it has slow respond speed.This paper introduces a compound control method for servo system based on fuzzy CMAC neural network.FCMAC neural network introduce membership function and activation intensity of memory cells,which makes the description ability of network stronger and the approach precision of network will be better.The controller based on FCMAC neural network can apperceive disturbance by self learning on line and provide appropriate compensation for disturbance.The results of simulation show that with this method servo system will have better tracking ability and well robustness.
机译:传统的伺服系统PID控制器难以有效地抑制摩擦和负载引起的转矩扰动,响应速度较慢。本文介绍了一种基于模糊CMAC神经网络的伺服系统复合控制方法。存储单元的激活强度,使得网络的描述能力更强,网络的逼近度更好。基于FCMAC神经网络的控制器可以通过在线自学习感知干扰,并为干扰提供适当的补偿。表明采用这种方法,伺服系统将具有更好的跟踪能力和良好的鲁棒性。

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