Model Predictive Current Control of Permanent Magnet Synchronous Motor for Marine Electric Propulsion

被引:0
|
作者
Zhao X. [1 ]
Zhu J. [1 ]
Wang Z. [1 ]
机构
[1] College of Marine Electrical Engineering, Dalian Maritime University, Dalian
来源
基金
中国国家自然科学基金;
关键词
Electric propulsion - Permanent magnets - Synchronous motors - Torque - Torque control - Traction motors - Vector control (Electric machinery) - Vectors;
D O I
10.2528/pierm22021001
中图分类号
学科分类号
摘要
In order to solve high torque ripple of permanent magnet synchronous motor (PMSM) for marine electric propulsion under the current control methods, the improved model predictive current control (MPCC) of PMSM for marine electric propulsion based on the mathematical model of three-phase PMSM is proposed. First, the stator current prediction model is derived based on the forward Euler method. Then the first optimal voltage vector is obtained by the value function, and the second optimal voltage vector, and the second optimal voltage vector and the first and second optimal voltage vectors’ respective action times are obtained by the q-axis deadbeat control, which are directly fed back to the inverter. The proposed control method is verified by simulation and hardware in the loop simulation experiment. The experiment results show that in comparison with the direct torque control based on space vector modulation (SVM-DTC) in the case of motor speed and torque mutation, the torque ripple of motor is reduced by 9.40% and 4.80% respectively based on improved MPCC. The feasibility and effectiveness of the proposed method are verified by the simulation and experiment results. © 2022, Electromagnetics Academy. All rights reserved.
引用
收藏
页码:241 / 251
页数:10
相关论文
共 50 条
  • [1] Model Predictive Current Control of Permanent Magnet Synchronous Motor for Marine Electric Propulsion
    Zhao, Xiyang
    Zhu, Jingwei
    Wang, Zhibin
    PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2022, 109 : 241 - 251
  • [2] Vector control system of permanent magnet synchronous motor for marine electric propulsion
    Guo Jining
    Yu Enxiang
    Zhang Aihua
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 2126 - 2129
  • [3] Fuzzy Model Predictive Control of a Permanent Magnet Synchronous Motor in Electric Vehicles
    Liu, Zhitao
    Wang, Youyi
    Du, Jiani
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 604 - 608
  • [4] Model Predictive Control of a Permanent Magnet Synchronous Motor
    Chai, Shan
    Wang, Liuping
    Rogers, Eric
    IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011, : 1928 - 1933
  • [5] Electric propulsion with the sensorless permanent magnet synchronous motor: Model and approach
    Batzel, TD
    Lee, KY
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2005, 20 (04) : 818 - 825
  • [6] A Modified Model Predictive Current Control of Permanent Magnet Synchronous Motor Drive
    Petkar, Sagar Gajanan
    Eshwar, Kusuma
    Thippiripati, Vinay Kumar
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (02) : 1025 - 1034
  • [7] An Improved Model Predictive Current Control of Permanent Magnet Synchronous Motor Drives
    Zhang, Yongchang
    Gao, Suyu
    Xu, Wei
    APEC 2016 31ST ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, 2016, : 2868 - 2874
  • [8] A current control strategy for the permanent magnet synchronous motor based on model predictive control
    He, Dongwei
    Peng, Xiafu
    Jiang, Xuecheng
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2013, 34 (12): : 1556 - 1565
  • [9] Deadbeat Predictive Current Control for Permanent Magnet Synchronous Motor
    Xu, Xiaohui
    He, Zhongxiang
    Yu, Hu
    Chen, Bo
    Song, Weizhang
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 2822 - 2826
  • [10] Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System
    Huang, Shengqi
    Zhang, Yuanwei
    Shi, Lei
    Huang, Yuqing
    Chang, Bin
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (03)