Development and Implementation of a Speed Sensorless Induction Motor Drives Using an Adaptive Neuro - Fuzzy Flux Observer

被引：0
|
作者：
Chekroun, S.
Zerikat, M.
Mechernene, A.
Benharir, N.
机构：
来源：
INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE | 2012年 / 7卷 / 04期
关键词：
Induction Motor; Sensorless Control; Adaptive Flux Observer; ANFIS; Estimation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose an adaptive neuro-fuzzy inference system for high performance induction motor drive. The simultaneous observation of rotor speed and stator resistance in induction drive is obtained through a neuro:fuzzy observer trained with a backpropagation algorithm. The dynamic performance and robustness of the proposed neuro-fuzzy adaptive observer are evaluated under a variety of operation conditions. The suggested approach is designed and implemented in the laboratory and its effectiveness in tracking application is verified. Experimental results have shown excellent tracking performance of the proposed speed sensorless control system and have convincingly demonstrated the usefulness of the hybrid neuro-fuzzy flux observer in high performance drives with uncertainties. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.
引用
收藏
页码：4897 / 4904
页数：8
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