Parameters Identification of the Induction Machine Using a Non Linear Parametric Technique

被引:2
|
作者
Menacer, Arezki [1 ]
Moreau, Sandrine [2 ]
Champenois, Gerard [2 ]
机构
[1] Univ Biskra, LGEB Lab Genie Elect, Biskra, Algeria
[2] Univ Poitiers ENSMA, LIAS, Poitiers, France
关键词
Induction Machine; Parameter Identification; Output Error Method; Levenberg Marquardt;
D O I
10.1080/09398368.2012.11463836
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
The aim of this paper is to determine the electrical parameters of induction machine experimentally by using a non linear parametric identification technique. This technique is based on the output error method and the Levenberg Marquardt algorithm, which guaranties the stability of the algorithm far from the optimum and a good convergence speed near the optimum. To assure the identification algorithm convergence, a specific excitation is added on the voltages which feed the induction machine instead of the SBPA noise signal. This excitation should not disturb the normal running of the motor and must be sufficient to assure a good convergence of the identification algorithm.
引用
收藏
页码:25 / 30
页数:6
相关论文
共 50 条
  • [21] Induction machine parameters and state estimation using Kalman filter approach
    Loukil, I
    Gossa, M
    Chaari, A
    Jemli, M
    Jarray, K
    Boussak, M
    MELECON '96 - 8TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, VOLS I-III: INDUSTRIAL APPLICATIONS IN POWER SYSTEMS, COMPUTER SCIENCE AND TELECOMMUNICATIONS, 1996, : 265 - 268
  • [22] Estimation of Nonlinear Control Parameters In Induction Machine Using Particle Filtering
    Mansouri, Majdi
    Mohamed-Seghir, Mostefa
    Nounou, Hazem
    Nounou, Mohamed
    Abu-Rub, Haitham
    2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2013,
  • [23] Parameters identification of the compound cage rotor induction machine based on linearized Kalman filtering
    王铁成
    李伟力
    孙建伟
    Journal of Harbin Institute of Technology(New series), 2003, (02) : 133 - 136
  • [24] Identification of material parameters of the Rousselier model by non-linear optimization
    Springmann, M
    Kuna, M
    COMPUTATIONAL MATERIALS SCIENCE, 2003, 26 : 202 - 209
  • [25] Parameter Identification of an Induction Machine at Standstill Using the Vector Constructing Method
    He, Yanhui
    Wang, Yue
    Feng, Yupeng
    Wang, Zhao'an
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2012, 27 (02) : 905 - 915
  • [26] Parametric Sensitivity Analysis of an Induction Machine with Predictive Control
    Valentin Painen-Paillalef, Jose
    Hernan Aros-Onate, Nelson
    2019 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2019,
  • [27] A new technique to identify induction machine rotor parameters during dynamic operation and low speed
    Fahrner, W.
    Vogelsberger, M. A.
    Wolbank, T.
    2018 IEEE 18TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (PEMC), 2018, : 471 - 476
  • [28] Analysis of the induction machine parameter identification
    Córcoles, F
    Pedra, J
    Salichs, M
    Sainz, L
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2002, 17 (02) : 183 - 190
  • [29] Mimo and Miso systems applied to an induction machine parameter identification
    Ibtiouen, R
    Touhami, O
    Mghezzi, LM
    Mekhtoub, S
    Mezani, S
    CCA 2003: PROCEEDINGS OF 2003 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 2003, : 1251 - 1255
  • [30] Parameter identification of an induction machine for diagnosis
    Coirault, P
    Trigeassou, JC
    Gaubert, JP
    Champenois, G
    (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 1998, : 265 - 270