Performance Improvement of IPMSM Using Finite Predictive Current Control for EV

被引:0
|
作者
Won, Il-Kuen [1 ]
Hwang, Jun-Ha [1 ]
Kim, Do-Yun [1 ]
Jang, Young-Hee [1 ]
Won, Chung-Yuen [1 ]
机构
[1] Sungkyunkwan Univ, Sungkyunkwan Power Elect Lab, Coll Informat & Commun Engn, Suwon, South Korea
关键词
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
PMSM (Permanent Magnet Synchronous Motor) is mainly used in electric vehicle because of its high efficiency. Among them, IPMSM (Interior Permanent Magnet Synchronous Motor) has more wide speed range in flux-weakening region than that of SPMSM (Surface Mounted Permanent Magnet Synchronous Motor) because of torque efficiency per unit volume and wide torque out range of IPMSM. Therefore, IPMSM is the most commonly used in the automotive industry as a motor for EV driving. In electric vehicle, the torque output is determined variably and instantly corresponding to the operation of the accelerator and the brake of driver. So, the torque transient periods whose torque reference is variable are generated very frequently in accordance with a variable speed. Therefore, in this paper, improving method of torque response in a transient period for electric vehicle is explained. The current reference of IPMSM is output using 2D-LUT. Also, in order to complement the disadvantages of PI controller of conventional field oriented control, the predictive current control is used, improving torque response at torque transient period.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] A Geometrical Interpretation of Current Transient Responses to Predict Current Gradients for IPMSM Model Predictive Control
    Li, Huayu
    Van Damme, Jordi
    Ma, Chenwei
    Melkebeek, Jan
    De Belie, Frederik
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (11) : 10498 - 10509
  • [32] Harmonic Current Reduction Control Based on Model Predictive Direct Current Control of IPMSM and Input Grid Circuit
    Araki, Yushi
    Abe, Kodai
    Ohishi, Kiyoshi
    Yokokura, Yuki
    Sano, Junichi
    Kobayashi, Koji
    Kashihara, Tatsuki
    IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2020, 9 (01) : 17 - 26
  • [33] Improvement of Control Performance of Sampling Based Model Predictive Control using GPU
    Muraleedharan, Arun
    Okuda, Hiroyuki
    Suzuki, Tatsuya
    2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 1999 - 2004
  • [34] Predictive Control for Performance Improvement of a Feedback Control System Using Cyclostationary Channels
    Carrizo, Cesar
    Kobayashi, Kentaro
    Okada, Hiraku
    Katayama, Masaaki
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2015, E98A (04): : 1000 - 1005
  • [35] The Study on Transient Performance Improvement of Position Sensorless Control Algorithm for IPMSM
    Lee, Dongwoo
    Akatsu, Kan
    2017 IEEE INTERNATIONAL SYMPOSIUM ON SENSORLESS CONTROL FOR ELECTRICAL DRIVES (SLED), 2017, : 67 - 72
  • [36] A novel current control system of IPMSM operating at high speed based on model predictive control
    Kadota, Mitsuhiro
    Lerdudomsak, Smith
    Doki, Shinji
    Okuma, Shigeru
    2007 POWER CONVERSION CONFERENCE - NAGOYA, VOLS 1-3, 2007, : 1282 - +
  • [37] Optimized Current Control of Vienna Rectifier Using Finite Control Set Model Predictive Control
    Izadinia, Ali R.
    Karshenas, Hamid R.
    2016 7TH POWER ELECTRONICS AND DRIVE SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC), 2016, : 596 - 601
  • [38] Position sensorless control method of IPMSM applying three shunt sensing PWM inverter using predictive current
    Won, Il-Kuen
    Hong, Sung-woo
    Choo, Kyoung-Min
    Kim, Woo-Jae
    Kim, Jun-Chan
    Lee, Jung-Hyo
    Won, Chung-Yuen
    2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2017,
  • [39] Performance Assessment of the BLDC Motor in EV Drives using Nonlinear Model Predictive Control
    Ubare, Pramod
    Sonawane, D. N.
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (04) : 8901 - 8909
  • [40] Suppression of harmonic current for IPMSM using generalized repetitive control
    Morimoto, Masaya
    Zanma, Tadanao
    Ishida, Muneaki
    Pipeleers, Goele
    Swevers, Jan
    IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,