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.
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)
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)。
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
high speed permanent magnet synchronous motor(HSPMSM)
air suspension compressor
position reconstruction
learning chain
load learning
vector control
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。
