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
  • [1] Identification of induction machine parameters with application of speed observers
    Krzeminski, Zbigniew
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (4B): : 134 - 139
  • [2] Offline Identification of Induction Machine Parameters With Core Loss Estimation Using the Stator Current Locus
    Reed, David M.
    Hofmann, Heath F.
    Sun, Jing
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2016, 31 (04) : 1549 - 1558
  • [3] Parametric Identification of Induction Machine Classic and Fractional park model
    Hammami, Rahma
    Khadhraoui, Abir
    Jelassi, Khaled
    Ben Ameur, Imene
    2014 INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2014,
  • [4] Research on Non-Linear Parameters Identification for Servo System of CNC Machine Tools
    Chen Guangsheng
    Li Haolin
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 344 - 347
  • [5] Identification of Induction Machine parameters including Core Loss Resistance using Recursive Least Mean Square Algorithm
    Siddavatam, Ravi Prakash Reddy
    Loganathan, Umanand
    45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 1095 - 1100
  • [6] Automated Identification of Linear Machine Tool Model Parameters Using Global Sensitivity Analysis
    Ellinger, Johannes
    Zaeh, Michael F.
    MACHINES, 2022, 10 (07)
  • [7] FIREFLY ALGORITHM IMPROVEMENT WITH APPLICATION TO INDUCTION MACHINE PARAMETERS IDENTIFICATION
    Dif, Naas
    Boudissa, Elghalia
    Bounekhla, Mhamed
    Dif, Ismail
    REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2020, 65 (1-2): : 35 - 40
  • [8] Induction Machine Identification Based on a New Technique of Simulated Annealing Optimization
    Moutchou, Mohamed
    Mahmoudi, Hassan
    Abbou, Ahmed
    2014 INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2014, : 873 - 878
  • [9] Offline Induction Machine Parameters Identification Suitable for Self-commissioning
    Kostal, Tomas
    2017 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE), 2017, : 79 - 82
  • [10] Induction Machine Parameters Identification Method Suitable for Self-commissioning
    Kost'al, Tomas
    2017 XXVI INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRONICS (ET), 2017,