微特电机 ›› 2023, Vol. 51 ›› Issue (6): 34-39.

• 驱动控制 • 上一篇    下一篇

基于自学习离心式负载HSPMSM转速辨识研究

方小斌1,2   

  1. 1.珠海格力电器股份有限公司,珠海 519070;
    2.空调设备及系统运行节能国家重点实验室,珠海 519070
  • 收稿日期:2023-04-23 出版日期:2023-06-28 发布日期:2023-06-27
  • 作者简介:方小斌(1979—),男,硕士,高级工程师,研究方向为变频驱动控制及新能源空调。
  • 基金资助:
    国家重点研发计划资助项目(2018YFC0705000)

Research on Speed Identification of High Speed Permanent Magnet Synchronous Motor Based on Centrifugal Load Self-Learning

FANG Xiaobin1,2   

  1. 1. Gree Electric Appliances Inc. of Zhuhai, Zhuhai 519070, China;
    2. State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation, Zhuhai 519070, China
  • Received:2023-04-23 Online:2023-06-28 Published:2023-06-27

摘要: 为提高高速永磁同步电机转速辨识精度,采用负载注入高基频位置重构辨识策略,负载学习链动态预测补偿设计方法,构建了位置观测器增益矩阵和负载学习轨迹,提出负载-转速-转矩三闭环复合FOC矢量控制技术。采用该技术后,实际测试机组在全速域转速误差控制在30 r/min以内,提高了观测器的估算精度和高精度动态控制能力,保证了气悬浮压缩机空调系统的高速运行、高效调温、除湿性能。

关键词: 高速永磁同步电机, 气悬浮压缩机, 位置重构, 学习链, 负载学习, 矢量控制

Abstract: To improve the speed identification accuracy of high-speed permanent magnet synchronous motor, a load injection high fundamental frequency position reconstruction identification strategy and a load learning chain dynamic prediction compensation design method were adopted. The position observer gain matrix and load learning trajectory were constructed, and a load speed torque three closed-loop composite FOC vector control technology was proposed. After adopting the technology, the actual testing unit′s speed error in the full speed range was controlled within 30 r/min, improving the estimation accuracy and high-precision dynamic control ability of the observer, ensuring the high-speed operation, efficient temperature regulation and dehumidification performance of the air suspension compressor air conditioning system.

Key words: high speed permanent magnet synchronous motor(HSPMSM), air suspension compressor, position reconstruction, learning chain, load learning, vector control

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