Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method

Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method

This paper presents a two-stage recursive least squares (TSRLS) algorithm for the electric parameter estimation of the induction machine (IM) at standstill. The basic idea of this novel algorithm is to decouple an identifying system into two subsystems by using decomposition technique and identify t...

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Main Authors: Jinliang Zhang, Longyun Kang, Lingyu Chen, Zhihui Xu
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/567492
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spelling doaj-8493d2ae4d8848249d62a7103dd0a8062020-11-25T01:00:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/567492567492Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares MethodJinliang Zhang0Longyun Kang1Lingyu Chen2Zhihui Xu3School of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, ChinaSchool of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, ChinaSchool of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, ChinaSunwoda Electronic Corporation Limited, Shenzhen 518108, ChinaThis paper presents a two-stage recursive least squares (TSRLS) algorithm for the electric parameter estimation of the induction machine (IM) at standstill. The basic idea of this novel algorithm is to decouple an identifying system into two subsystems by using decomposition technique and identify the parameters of each subsystem, respectively. The TSRLS is an effective implementation of the recursive least squares (RLS). Compared with the conventional (RLS) algorithm, the TSRLS reduces the number of arithmetic operations. Experimental results verify the effectiveness of the proposed TSRLS algorithm for parameter estimation of IMs.http://dx.doi.org/10.1155/2015/567492
collection DOAJ
language English
format Article
sources DOAJ
author Jinliang Zhang
Longyun Kang
Lingyu Chen
Zhihui Xu
spellingShingle Jinliang Zhang
Longyun Kang
Lingyu Chen
Zhihui Xu
Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
Mathematical Problems in Engineering
author_facet Jinliang Zhang
Longyun Kang
Lingyu Chen
Zhihui Xu
author_sort Jinliang Zhang
title Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
title_short Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
title_full Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
title_fullStr Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
title_full_unstemmed Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
title_sort parameter estimation of induction machine at standstill using two-stage recursive least squares method
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description This paper presents a two-stage recursive least squares (TSRLS) algorithm for the electric parameter estimation of the induction machine (IM) at standstill. The basic idea of this novel algorithm is to decouple an identifying system into two subsystems by using decomposition technique and identify the parameters of each subsystem, respectively. The TSRLS is an effective implementation of the recursive least squares (RLS). Compared with the conventional (RLS) algorithm, the TSRLS reduces the number of arithmetic operations. Experimental results verify the effectiveness of the proposed TSRLS algorithm for parameter estimation of IMs.
url http://dx.doi.org/10.1155/2015/567492
work_keys_str_mv AT jinliangzhang parameterestimationofinductionmachineatstandstillusingtwostagerecursiveleastsquaresmethod
AT longyunkang parameterestimationofinductionmachineatstandstillusingtwostagerecursiveleastsquaresmethod
AT lingyuchen parameterestimationofinductionmachineatstandstillusingtwostagerecursiveleastsquaresmethod
AT zhihuixu parameterestimationofinductionmachineatstandstillusingtwostagerecursiveleastsquaresmethod
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