A fuzzy controller with a fuzzy adaptive mechanism for the speed control of a PMSM

被引：0

作者：

Neto, JLS ^{[1
]}

Le-Huy, H ^{[1
]}

机构：

[1] Fed Univ Rio De Janeiro, Dept Electrotech, Rio De Janeiro, Brazil

来源：

IECON '97 - PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS, CONTROL, AND INSTRUMENTATION, VOLS. 1-4 | 1997年

关键词：

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：

In this paper we describe a novel fuzzy adaptation method to construct or change the rules in the fuzzy controller rule base table. The objective of the fuzzy logic adaptation mechanism (FLAM) is to change the rules definition in the FLC rule base table, according to the comparison between a reference model output signal and the system output. So, the learning algorithm defines the output linguistic values for each rule, based on a desired trajectory,We will show the efficiency of this method in a TMS320C30 DSP-based speed fuzzy control of a Permanent Magnet Synchronous Motor (PMSM). The fuzzy logic adaptive strategy can be readily implemented. It has very fast learning features and very good tracking characteristics even under severe variations of the system parameters. At each sample instant the FLAM will affect only the active rules.

引用

页码：995 / 1000

页数：6