A New Approach for Flux and Rotor Resistance Estimation of Induction Motors

被引：11

作者：

Bazylev, Dmitry N. ^{[1
]}

Doria-Cerezo, Arnau ^{[2
,3
]}

Pyrkin, Anton A. ^{[1
]}

Bobtsov, Alexey A. ^{[1
]}

Ortega, Romeo ^{[4
]}

机构：

[1] ITMO Univ, Dept Control Syst & Informat, Kronverkskiy Av 49, St Petersburg 197101, Russia

[2] Univ Politecn Cataluna, Dept Elect Engn, ES-08034 Barcelona, Spain

[3] Univ Politecn Cataluna, Inst Ind & Control Engn, ES-08034 Barcelona, Spain

[4] SUPELEC, CNRS, Lab Signaux & Syst, F-91192 Gif Sur Yvette, France

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Adaptive observer; nonlinear regressor; induction motor; PARAMETER-ESTIMATION; IDENTIFICATION; OBSERVER;

D O I：

10.1016/j.ifacol.2017.08.259

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 address the problems of flux and rotor resistance estimation of induction motors. We propose a radically new approach that combines the recently introduced techniques of parameter estimation based observers (PEBO) with the dynamic regression extension and mixing (DREM) parameter adaptation. The PEBO framework is used to recast the flux observation task as a parameter estimation problem, for which the DREM technique is utilised. The resulting flux observer is then combined with a standard gradient estimator for the rotor resistance. Simulation results of an adaptive implementation of the classical field oriented controller demonstrate the effectiveness of the proposed flux observer and rotor resistance estimator even in closed-loop operation. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：1885 / 1890

页数：6

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