交流伺服系统神经网络PID控制

Neural network PID control in AC serv o system

提出了采用神经网络的自适应PID控制系统.将BP神经网络引入交流伺服系统中代替PID控制器,实现对被控电机的自适应控制;并在此基础上,简化神经网络的结构,把它与传统的PID控制结合起来,实现对交流伺服系统的复合控制.仿真结果表明,所提算法切实可行,系统具有较强的鲁棒性.

This paper presents a adaptive PID control system adopting neural network.By introducing BP neural network,instead of PID controller,into AC servo system adaptive contro ller of motor can be realized and the complex control of AC servo system can be achieved by means of simplifying the structure of neural network and furthermore,the combining nearal network with the traditional PIDcont rol.The results of the simulation sh ow that algorithms available,the system has stronger robustness.