Design Method of Model Predictive Control for Development of Current Control System of PMSM

被引:0
|
作者
Shimaoka M. [1 ]
Doki S. [1 ]
机构
[1] Department of Information and Communication Engineering, Graduate School of Engineering, Nagoya University Furo-cho, Chikusa-ku, Nagoya, Aichi
来源
| 1600年 / Institute of Electrical Engineers of Japan卷 / 140期
关键词
Current control; Design of search space; Model Predictive Control; PMSM;
D O I
10.1541/ieejias.140.793
中图分类号
学科分类号
摘要
This paper describes the design method for Model Predictive Control (MPC) that is suitable for current control systems of Permanent Magnet Synchronous Motor (PMSM). A current control system based on MPC predicts future current behaviors for considerable input voltage and determines the optimum input voltage by evaluating these behaviors. Conventional MPC sets the cost function, making it effective for several control purposes. However, the suitability of the search space of conventional MPC has not been discussed and its achievable performance was limited. In this paper, we consider an appropriate search space for current control system of PMSM by referring to existing modulation methods and inverter operation. Then, we propose new MPC that satisfies that search space and show that the proposed MPC can usage from a linear region to a square-wave region by the appropriate search space. c 2020 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:793 / 806
页数:13
相关论文
共 50 条
  • [31] FPGA-Based Continuous Control Set Model Predictive Current Control for PMSM System Using Multistep Error Tracking Technique
    Wang, Fengxiang
    He, Long
    Rodriguez, Jose
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (12) : 13455 - 13464
  • [32] Multi-vector Robust Model Predictive Current Control for PMSM Based on Incremental Model
    Hehe Dong
    Yubin Wang
    Journal of Electrical Engineering & Technology, 2023, 18 : 3657 - 3669
  • [33] An Improved Model Predictive Control with Duty Cycle Control for PMSM Drives
    Zhang, Yongchang
    Liu, Jiali
    Yuan, Guofeng
    Li, Zhengxi
    Lou, Hongli
    2016 19TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2016), 2016,
  • [34] Research on Low Computational Model Predictive Control Method for FP-PMSM
    Cao, Kuan
    Wang, Shaoshuai
    Ma, Ruiying
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 1644 - 1649
  • [35] Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
    Luan, Tianjiao
    Wang, Zhichao
    Long, Yang
    Zhang, Zhen
    Li, Qi
    Zhu, Zhihao
    Liu, Chunhua
    ENERGIES, 2021, 14 (21)
  • [36] Speed control of PMSM based on neural network model predictive control
    Mao, Hubo
    Tang, Xiaoming
    Tang, Hao
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (14) : 2781 - 2794
  • [37] Multi-vector Robust Model Predictive Current Control for PMSM Based on Incremental Model
    Dong, Hehe
    Wang, Yubin
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2023, 18 (05) : 3657 - 3669
  • [38] A model predictive control strategy for field-circuit coupled model of PMSM
    Zhang Zhiyan
    Guo Pengyao
    Liu Yan
    Shi Hang
    Zhu Yingjie
    Liu Hua
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2021, 67 (2-3) : 204 - 213
  • [39] A Novel Low-Complexity Cascaded Model Predictive Control Method for PMSM
    Meng, Qingcheng
    Bao, Guangqing
    ACTUATORS, 2023, 12 (09)
  • [40] Improved PMSM Model Considering Flux Characteristics for Model Predictive-Based Current Control
    Imura, Akihiro
    Takahashi, Tomoya
    Fujitsuna, Masami
    Zanma, Tadanao
    Doki, Shinji
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2015, 10 (01) : 92 - 100