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假定旋转坐标系下的永磁同步电机无位置传感器算法研究 被引量:1

Sensorless algorithm of permanent magnet synchronous motor based on assumed rotation coordinates
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摘要 针对无位置传感器算法应用于恶劣工况时参数设计困难的问题,根据位置观测器应用需求进行局部传递函数理论分析,制定参数设计规则。结合基于小信号模型的稳定性分析方法,通过绘制位置观测器参数的特征根轨迹图,进一步确定系统层面下的参数选取范围。在此基础上,依据所得参数变化响应特性与整定规则,设计模糊控制器,提出了一种基于模糊PI的假定旋转坐标下无传感器算法。所提算法避免了实际应用中繁琐的参数调节,能显著提高无传感器电机系统性能。最后,在高速大功率离心压气机控制平台上验证了所提方案的有效性,动态升速角度观测误差0.05°,同时稳态转速波动能够控制在±0.02%。 Aiming at the difficulty of parameter design when the position sensorless algorithm is applied in harsh working conditions,the theoretical analysis of the local transfer function was carried out and the parameter design rules were formulated according to the application requirements of the position observer.Combined with the stability analysis method based on the small signal model,the characteristic root locus of the position observer parameters was drawn to further determine the parameter selection range at the system level.On this basis,according to the response characteristics and tuning rules of the obtained parameters,a fuzzy controller was designed,and a sensorless algorithm based on fuzzy PI under assumed rotating coordinates was proposed.The proposed improved algorithm avoids the tedious parameter adjustment under actual working conditions and significantly improves performance of the sensorless motor system.Finally,effectiveness of the proposed scheme was verified on the high-speed and high-power centrifugal compressor control platform.The steady-state speed fluctuation can be controlled within±0.02%while the dynamic speed rise angle observation is within 0.05°error.
作者 储剑波 陶楷文 朱叶 CHU Jian-bo;TAO Kai-wen;ZHU Ye(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;AVIC Nanjing Engineering Institute of Aircraft Systems,Nanjing 211106,China)
出处 《电机与控制学报》 EI CSCD 北大核心 2022年第9期140-150,共11页 Electric Machines and Control
基金 国家自然科学基金(52077100)。
关键词 高速永磁同步电机 无传感器控制 参数设计 小信号模型 稳定性分析 模糊控制器 high speed permanent magnet synchronous motor sensorless algorithm parameter design small signal model stability analysis fuzzy PI
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