摘要
提出了一种基于PID神经网络的控制方法 ,给出了控制器的结构形式 ,分析了网络中采用附加动量项的BP学习算法 ,并利用MATLAB软件对带时滞的一阶对象进行了仿真 ,其仿真结果表明 ,该方法具有响应快、超调小。
A new controller based on the PID neural network is presented and its structure is introduced. An improved BP algorithm used in this PID neural network is analyzed. The computer simulation based on a model of time-varying parameters shows that this controller can adapt to the parameters of the PID controller and obtain faster response and better performance.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2002年第5期32-35,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
