A Space-vector State Dynamic Model of the Synchronous Reluctance Motor Including Self and. Cross-Saturation Effects and its Parameters Estimation

被引:0
|
作者
Accetta, Angelo [1 ]
Cirrincione, Maurizio [2 ]
Pucci, Marcello [1 ]
Sferlazza, Antonino [3 ]
机构
[1] Ist Ingn Mare INM, Natl Res Council Italy CNR, Palermo, Italy
[2] USP, Sch Engn & Phys, Suva, Fiji
[3] Univ Palermo, DEIM, Palermo, Italy
关键词
Synchronous Reluctance Motor (SynRM); Space-vector dynamic model; Parameters' estimation; Magnetic characteristics; MAGNETIC SATURATION; MACHINE;
D O I
暂无
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
This paper proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation and cross-saturation effects and selecting as state variables the stator currents. The proposed dynamic model is based on an original function between the stator flux and stator current components, and relies on 8 coefficients (fewer than other models in the scientific literature), presenting an interesting physical interpretation. Starting from this approach, both the static and dynamic inductances expressions of the model have been analytically developed, so that the reciprocity conditions for the cross saturation is satisfied. This paper presents also a technique for the estimation of the parameters of the inductances expressions, which is based on stand-still tests without the need of locking the rotor. This technique is based on the minimization of a suitably defined error function which includes the difference between the measured and estimated currents The proposed parameter estimation technique has been tested in both numerical simulation and experimentally on a suitably developed test set-up.
引用
收藏
页码:4466 / 4472
页数:7
相关论文
共 15 条
  • [1] Space-vector State Dynamic Model of the Synchronous Reluctance Motor Considering Self, Cross-Saturation and Iron Losses
    Accetta, Angelo
    Cirrincione, Maurizio
    Pucci, Marcello
    Sferlazza, Antonino
    2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 4164 - 4170
  • [2] Space-Vector State Dynamic Model of the SynRM Considering Self, Cross-Saturation and Iron Losses and Related Identification Technique
    Accetta, Angelo
    Cirrincione, Maurizio
    Pucci, Marcello
    Sferlazza, Antonino
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (03) : 3320 - 3331
  • [3] Space-vector state dynamic model of SynRM considering self- and cross-saturation and related parameter identificationInspec keywordsOther keywords
    Accetta, Angelo
    Cirrincione, Maurizio
    Pucci, Marcello
    Sferlazza, Antonino
    IET ELECTRIC POWER APPLICATIONS, 2020, 14 (14) : 2798 - 2808
  • [4] Synchronous Reluctance Motor Analytical Model Cross-saturation and Magnetization Analysis
    Knebl, Ladislav
    Bianchi, Nicola
    Bacco, Giacomo
    Ondrusek, Cestmir
    PRZEGLAD ELEKTROTECHNICZNY, 2020, 96 (01): : 108 - 112
  • [5] State-Space Space-Vector Model of the Induction Motor Including Magnetic Saturation and Iron Losses
    Pucci, Marcello
    2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2017, : 2404 - 2411
  • [6] State-Space Space-Vector Model of the Induction Motor Including Magnetic Saturation and Iron Losses
    Pucci, Marcello
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (04) : 3453 - 3468
  • [7] Analysis of cross-saturation effects in a linear synchronous reluctance motor performed by finite elements method and measurements
    Stumberger, Gorazd
    Stumberger, Bojan
    Dolinar, Drago
    2006 12TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-4, 2006, : 743 - +
  • [8] A Nonlinear Control of Synchronous Reluctance Motors (SynRM) Based on Feedback Linearization Considering the Self and Cross-Saturation Effects
    Accetta, Angelo
    Cirrincione, Maurizio
    Pucci, Marcello
    Sferlazza, Antonino
    2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2019, : 1804 - 1809
  • [9] Flux Saturation Model Including Cross Saturation for Synchronous Reluctance Machines and Its Identification Method at Standstill
    Woo, Tae-Gyeom
    Park, Sang-Woo
    Choi, Seung-Cheol
    Lee, Hak-Jun
    Yoon, Young-Doo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (03) : 2318 - 2328
  • [10] Model Predictive Control for Permanent Magnet Synchronous Motor Drives Considering Cross-Saturation Effects
    Kakosimos, Panagiotis
    Beniakar, Minos
    Liu, Yushan
    Abu-Rub, Haitham
    2017 THIRTY SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC), 2017, : 1880 - 1885