神经网络自动增益调节伺服电机控制系统
SELF-GAIN TUNING OF FLEXIBLE SERVOMOTOR CONTROL WITH APPLICATION OF NEURAL NETWORK
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摘要: 本文提出一种新方法,该方法采用神经网络的方法对伺服控制系统进行自动增益调节,且具有自学习自适应功能.该系统在环境参数发生变化时仍然能适应新的环境条件.该方法的正确性已在称之为“柔性伺服控制器”的控制系统中通过对直流、交流、无刷直流三种伺服电机的速度响应的控制实验中得到验证.Abstract: This paper deals with a new method which provides an automatic gain tuning of the servo-motor controlwith neural network application.The proposed method is practically suitable for the software based servocon-troler.When external parameters change,the system can adapt itslef to new external conditions.The pro-posed scheme has practically been verified by implementing into a self-developed control system so called "Flexible Servo Controller" in U.C.Davis.