Simulation Study on Fuzzy Logic Neural-network Control in the AC Drive System

被引：0

作者：

Qiao Meiying ^{[1
]}

Lan Jianyi ^{[2
]}

机构：

[1] Henan Polytech Univ, Inst Elect Engn & Automat, Jiaozuo 454000, Peoples R China

[2] Henan Polytech Univ, Energy Sci & Engn Inst, Jiaozuo 454000, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 2 | 2008年

关键词：

AC speed adjustment; Neural-network control; Fuzzy control; BP algorithm;

D O I：

10.1109/CHICC.2008.4605567

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the studying of the AC adjustment speed system and the complicated AC motor as controlled object, the method of fuzzy controller based neural-network is proposed in this paper. Simulations show that this method improved the ability of self-learning and anti-jamming of the AC adjustment speed system. The resumptive time of rotate speed in neural-network fuzzy control system is shorter than that in PID control system and the overshooting and oscillation during the recovery period are also weakened when the loads are suddenly increased or decreased. For systems with complicated structure, this method works well and also possesses high control accuracy under strong disturbances.

引用

页码：120 / +

页数：2