基于自学习离心式负载HSPMSM转速辨识研究  

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

作　　者：方小斌 FANG Xiaobin(Gree Electric Appliances Inc.of Zhuhai,Zhuhai 519070,China;State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation,Zhuhai 519070,China)

机构地区：[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

出　　处：《微特电机》2023年第6期34-39,共6页Small & Special Electrical Machines

基　　金：国家重点研发计划资助项目(2018YFC0705000)。

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。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.

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 

分 类 号：TM351[电气工程—电机]