A Novel Method for Identifying Parameters of Induction Motors at Standstill Using ADALINE

被引：45
作者：
Bechouche, A. [1 ]
Sediki, H. [1 ]
Abdeslam, D. Ould [2 ]
Haddad, S. [1 ]
机构：
[1] Mouloud Mammeri Univ Tizi Ouzou, Dept Elect Engn, Tizi Ouzou, Algeria
[2] Univ Haute Alsace, MIPS Lab, F-68093 Mulhouse, France
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2012年 / 27卷 / 01期
关键词：
Adaptive linear neuron (ADALINE); artificial neural networks (ANNs); induction motor (IM); parameters identification; IDENTIFICATION; ALGORITHM; ESTIMATOR; SCHEME;
D O I：
10.1109/TEC.2011.2175393
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, we propose a new method for an online electric parameters identification of an induction motor (IM). This method is carried out in the IM standstill configuration and uses adaptive linear neuron (ADALINE) networks. In order to simplify the identification process, the IM model is approximated by two first-order subsystems: one is valid at low frequencies (LFs), called the slow system and the other is valid at high frequencies (HFs), called the fast system. By means of two ADALINE networks, the parameters of the slow system and the fast system are identified in LFs and HFs, respectively, and thus, the required IM parameters are derived. Finally, experimental results are presented in order to validate the proposed method and to check the accuracy of the obtained parameters. The originality of this paper is the building of a model representation that is suitable for implementation with ADALINE networks. This leads to a simple implementation and ease of parameters identification.
引用
收藏
页码：105 / 116
页数：12
相关论文
共 26 条
[1]   Power quality event detection using Adaline [J].
Abdel-Galil, TK ;
El-Saadany, EF ;
Salama, MMA .
ELECTRIC POWER SYSTEMS RESEARCH, 2003, 64 (02) :137-144
[2]   Application of genetic algorithm with a novel adaptive scheme for the identification of induction machine parameters [J].
Abdelhadi, B ;
Benoudjit, A ;
Nait-Said, N .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2005, 20 (02) :284-291
[3]   A unified artificial neural network architecture for active power filters [J].
Abdeslam, Djaffar Ould ;
Wira, Patrice ;
Merckle, Jean ;
Flieller, Damien ;
Chapuis, Yves-Andre .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) :61-76
[4]   Adaline and its application in power quality disturbances detection and frequency tracking [J].
Ai, Qian ;
Zhou, Yuguang ;
Xu, Weihua .
ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (5-6) :462-469
[5]  
Bechouche Ali, 2010, IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics, P2908, DOI 10.1109/IECON.2010.5674931
[6]   Parameter estimation of induction motor at standstill with magnetic flux monitoring [J].
Castaldi, P ;
Tilli, A .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (03) :386-400
[7]  
CAUSSAT T, 1994, IEEE IND ELEC, P198, DOI 10.1109/IECON.1994.397776
[8]   Fast tracking of transient power system signals using fuzzy LMS algorithm [J].
Dash, PK ;
Liew, AC ;
Swain, DP ;
Mishra, B .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1998, 20 (08) :555-561
[9]   On-line parameter estimator of an induction motor at standstill [J].
Fang, CH ;
Lin, SK ;
Wang, SJ .
CONTROL ENGINEERING PRACTICE, 2005, 13 (05) :535-540
[10]   Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents [J].
Flieller, D. ;
Abdeslam, D. Ould ;
Wira, P. ;
Merckle, J. .
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (07) :1145-1154
123