摘要
文章提出了神经网络(Neural Network)模糊(Fuzzy)控制方法,输入信号先模糊化,然后通过构建的神经网络,并在线调整神经网络的权值,从而得到能随着神经网络权值调整而变化的参数,最后由调整的参数控制系统,使系统的输出具有更好的动静态性能,并提高系统的鲁棒性。仿真和在无刷直流电动机中的实验结果,表明在设计的神经网络模糊控制器下,系统取得了较好的控制效果。
In this paper, a novel Neural Network-Fuzzy（NN） PID control strategy is proposed. The network which can adjust itself is constructed by fuzzy theory and Neural Network theory, Through the NN-Fuzzy PID controller, the better result reaches and the system is much more robust. Simulation and experiment show that the performance is better than that of PID controller.
出处
《组合机床与自动化加工技术》
2005年第12期70-72,共3页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
神经网络
模糊
无刷直流电动机
neural network
fuzzy
BLDCM（Brushless Direct Current Motor）
