A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems

被引:16
|
作者
Lin, Cheng-Kai [1 ]
Yu, Jen-te [2 ]
Huang, Hao-Qun [1 ]
Wang, Jyun-Ting [1 ]
Yu, Hsing-Cheng [3 ]
Lai, Yen-Shin [4 ]
机构
[1] Natl Taiwan Ocean Univ, Dept Elect Engn, Keelung 202, Taiwan
[2] Chung Yuan Christian Univ, Dept Elect Engn, Taoyuan 320, Taiwan
[3] Natl Taiwan Ocean Univ, Dept Syst Engn & Naval Architecture, Keelung 202, Taiwan
[4] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 106, Taiwan
来源
ENERGIES | 2018年 / 11卷 / 07期
关键词
predictive current control; synchronous reluctance motor; voltage source inverter;
D O I
10.3390/en11071743
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
For current control in power conversion and motor drive systems, there exist three classic methods in the literature and they are the hysteresis current control (HCC), the sine pulse-width modulation (SPWM), and the space vector pulse width modulation (SVPWM). HCC is easy to implement, but has relatively large current harmonic distortion as the disadvantage. On the other hand, the SPWM and SVPWM use modulation technique, commonly together with at least one proportional-integral (PI) regulator to reduce load current ripples, and hence demanding more computation time. This paper aims to improve the performance of a recently proposed new current control method-the single-voltage-vector model predictive current control (SVV-MPCC), for synchronous reluctance motor (SynRMs) drives. To that end, a dual-voltage-vector model-free predictive current control (DVV-MFPCC) for SynRMs is proposed. Unlike the SVV-MPCC that applies only a single voltage vector per sampling period, the proposed DVV-MFPCC is capable of providing two successive segmentary current predictions in the next sampling period through all possible combinations from any two candidate switching states increasing the number of applicable switching modes from seven to nineteen and reducing the prediction error effectively. Moreover, the new control does not utilize any parameters of the SynRM nor its mathematical model. The performance is effectively enhanced compared to that of SVV-MPCC. The working principle of the DVV-MFPCC will be detailed in this paper. Finally, the SVV-MPCC, the single-voltage-vector model-free predictive current control (SVV-MFPCC), the dual-voltage-vector model predictive current control (DVV-MPCC), and the DVV-MFPCC are realized to control the stator currents of SynRM through a 32-bit microcontroller TMS320F28377S. Experimental results are provided to validate the new method and verify that the DVV-MFPCC performs better than do the SVV-MPCC, the SVV-MFPCC, and the DVV-MPCC.
引用
收藏
页数:29
相关论文
共 50 条
  • [11] Model Predictive Control for Synchronous Reluctance Motor Drive
    Aros, Nelson
    Mora, Vanessa
    Alarcon, Claudio
    2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2017,
  • [12] A SIMPLIFIED TWO-SWITCHING-BASED MODEL-FREE PREDICTIVE CURRENT CONTROLLER FOR AN INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE SYSTEM
    Lin, Cheng-Kai
    Yu, Jen-te
    Wang, Jyun-Ting
    Lai, Yen-Shin
    Yu, Hsing-Cheng
    Huang, Hao-Qun
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2018, 26 (06): : 803 - 812
  • [13] Model-Free Predictive Current Controller for Four-Switch Three-Phase Inverter-Fed Interior Permanent Magnet Synchronous Motor Drive Systems
    Lin, Cheng-Kai
    Yu, Jen-te
    Fu, Li-Chen
    Liu, Tian-Hua
    Hsiao, Chieh-Fu
    2012 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2012, : 1048 - 1053
  • [14] Robust three-voltage-vector-based model-free predictive current control for permanent magnet synchronous motor with ultra-local model
    Sun, Zheng
    Deng, Yongting
    Wang, Jianli
    Li, Hongwen
    IET POWER ELECTRONICS, 2023, 16 (16) : 2739 - 2753
  • [15] Current Vector Control Techniques of Five-Phase Synchronous Reluctance Motor Drive Systems
    Ismaeel, Sara M.
    Allam, Said M.
    Rashad, Essam M.
    2019 21ST INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON 2019), 2019, : 1180 - 1185
  • [16] Fast two-vector-based model-free predictive current control of permanent magnet synchronous motor
    Zhang, Xiao
    Tao, Ran
    Dou, Zhaoyu
    Qiu, Shuo
    Liu, Jia
    Liu, Yi
    IET ELECTRIC POWER APPLICATIONS, 2023, 17 (02) : 217 - 231
  • [17] Model-Free Predictive Current Controller for Common Mode Voltage Stabilization by Finite odd Virtual Vector set
    Akbari, Majid
    Davari, S. Alireza
    Ghandehari, Reza
    Flores-Bahamonde, Freddy
    Rodriguez, Jose
    IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2024, 5 : 1042 - 1057
  • [18] Model-Free Predictive Current Control of Synchronous Reluctance Motors Based on a Recurrent Neural Network
    Ahmed, Hamza Mesai
    Jlassi, Imed
    Marques Cardoso, Antonio J.
    Bentaallah, Abderrahim
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (11) : 10984 - 10992
  • [19] Three-vector model-free predictive control for permanent magnet synchronous motor
    Wen, Dingdou
    Zhang, Yanqin
    Zhang, Yang
    IET POWER ELECTRONICS, 2023, 16 (16) : 2754 - 2768
  • [20] Model-Free Predictive Current Control of Synchronous Reluctance Motors Based on a Recurrent Neural Network
    Ahmed, Hamza Mesai
    Jlassi, Imed
    Cardoso, Antonio J. Marques
    Bentaallah, Abderrahim
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2021, : 10984 - 10992