The Research of PMSM RBF Neural Network PID Parameters Self-tuning in Elevator

被引：0
|
作者：
Wang Tong-xu [1 ]
Ma Hong-yan [1 ]
机构：
[1] Beijing Univ Civil Engn & Architecture, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
PMSM; RBF neural network; Elevator;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To make the elevator operates more smoothly and obtain quicker response speed, the traditional PID algorithm of elevator traction machine speed system needs to be improved. This paper adopts RBF neural network PID control algorithm to control the speed system of PMSM. The simulation results verify that the dynamic performances of PMSM have been improved. In addition, combined with the elevator speed curve, the simulation results verify that the RBF neural network. PID control algorithm applied to the elevator with PMSM control system is feasible.
引用
收藏
页码：3350 / 3354
页数：5
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