基于模糊MRAS的高速永磁同步电机转速观测  

Speed Observation of High-Speed Permanent Magnet Synchronous Motor Based on Fuzzy MRAS

作　　者：何延昭 王贞艳[3] 郭炎龙 王金霞 HE Yan-zhao;WANG Zhen-yan;GUO Yan-long;WANG Jin-xia(Beijing Xuanyu Space Technology Ltd,Beijing 100190,China;Beijing Institute of Control Engineering,Beijing 100190,China;Taiyuan University of Science and Technology,School of Electronics and Information Engineering,Taiyuan Shanxi 030024,China;Henan Weite Robot Ltd,Zhengzhou Henan 450000,China)

机构地区：[1]北京轩宇空间科技有限公司,北京100190 [2]北京控制工程研究所,北京100190 [3]太原科技大学电子信息工程学院,山西太原030024 [4]河南卫特机器人有限公司,河南郑州450000

出　　处：《计算机仿真》2022年第12期317-322,共6页Computer Simulation

基　　金：山西省研究生创新项目(2020SY420);山西省研究生教改项目(2019JG165);山西省基础研究计划项目(自然)(201901D111263);山西省科技重大专项(20191102009)。

摘　　要：为改善模型参考自适应系统(MRAS)在高速永磁同步电机转速观测中的性能,将模糊控制与模型参考自适应相结合,提出了一种基于模糊自适应律的MRAS转速观测方法。利用MRAS对转子位置和转速进行估算,将电流误差和误差变化量模糊化后作为控制器的输入,输出为控制量增量,解模糊化后作为转子角速度增量。搭建了基于MATLAB环境下高速永磁同步电机无速度传感器矢量控制仿真模型并进行分析,仿真研究证明了上述方法的有效性和可行性。In order to improve the performance of the model reference adaptive system(MRAS) in the speed observation of high-speed permanent magnet synchronous motor, a method of MRAS speed observation based on fuzzy adaptive law is proposed by combining fuzzy control with model reference adaptive. MRAS is used to estimate the rotor position and speed. The fuzzy current error and error variation are used as the input of the controller, the output is used as the increment of the control quantity, and the defuzzification is used as the increment of rotor angular velocity. The simulation model of sensorless vector control of high-speed PMSM based on MATLAB is built and analyzed. The simulation results show that the method is effective and feasible.

关 键 词：高速永磁同步电机 模型参考自适应系统 无速度传感器 模糊控制 

分 类 号：TM351[电气工程—电机]