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基于铁耗在线计算的最小损耗预测电流控制方法
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  • 英文篇名:Loss Minimization Predictive Current Control Based on Iron Loss On-line Calculation
  • 作者:夏长亮 ; 李帆 ; 王慧敏 ; 阎彦 ; 史婷娜
  • 英文作者:XIA Changliang;LI Fan;WANG Huimin;YAN Yan;SHI Tingna;School of Electrical and Information Engineering, Tianjin University;Tianjin Engineering Center of Electric Machine System Design and Control;
  • 关键词:永磁同步电机 ; 铁耗 ; 最小损耗控制 ; 卡尔曼观测器 ; 预测电流控制
  • 英文关键词:permanent magnet synchronous motor;;loss minimization control;;iron loss;;Kalman observer;;predictive current control
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:天津大学电气自动化与信息工程学院;天津市电机系统先进设计与智能控制技术工程中心;
  • 出版日期:2018-01-25 14:04
  • 出版单位:中国电机工程学报
  • 年:2018
  • 期:v.38;No.588
  • 基金:国家自然科学基金项目(51690180,51507111)~~
  • 语种:中文;
  • 页:ZGDC201801027
  • 页数:10
  • CN:01
  • ISSN:11-2107/TM
  • 分类号:269-277+367
摘要
为通过改进控制方法进一步提高表贴式永磁同步电机运行效率,该文提出一种基于铁耗在线计算的最小损耗预测电流控制方法。该方法首先通过理论分析推导出能够使损耗最小的定子d轴电流给定值关于铁耗值与定子磁链幅值的表达式,而后设计卡尔曼观测器对定子电流铁耗分量进行观测以便计算当前运行状况下电机的铁耗值与定子磁链幅值。同时,为保证损耗抑制效果,该文将定子电流铁耗分量的观测结果引入电流预测过程中,以消除传统预测电流控制方法忽略铁耗引起的电流跟踪误差。实验结果表明,所提方法具有良好的动态性能、电流跟踪效果及损耗抑制效果。
        In order to improve the efficiency of surface-mounted permanent magnet synchronous motor by control methods, this paper presented a novel loss minimization control method based on iron loss on-line calculation. The proposed method calculated the optimal d-axis current which can minimize the loss by the value of the iron loss and the flux modulus. A Kalman observer was designed to observe the stator current iron loss variable, and then the result was used to calculate the value of the iron loss and the flux modulus. At the same time, to ensure the performance of the loss minimization algorithm,the stator current iron loss variable was introduced to the current prediction process of the predictive current control, thus the current tracking errors caused by neglecting the iron loss can be eliminated. Thus, the proposed loss minimization predictive current control method can obtain a better current tracking performance and efficiency improvement ability than ordinary model based loss minimization predictive current control. Finally, the experiment results validated the performance of the proposed method.
引文
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