CAJ | 학술논문

采用递推最小二乘法对新能源汽车永磁同步电动机的定子电阻、直轴电感、交轴电感、磁链等参数同时在线辨识。加入遗忘因子，提高新数据的作用，减少旧数据的作用。通过MATLAB仿真验证和永磁同步电机实际参数的对比表明，辨识参数能够迅速地收敛到真实值，且误差小、精度高。该算法实现比较简单、稳定性好，可以满足永磁同步电机多参数同时在线辨识的需求。
채용체추최소이승법대신능원기차영자동보전동궤적정자전조、직축전감、교축전감、자련등삼수동시재선변식。가입유망인자，제고신수거적작용，감소구수거적작용。통과MATLAB방진험증화영자동보전궤실제삼수적대비표명，변식삼수능구신속지수렴도진실치，차오차소、정도고。해산법실현비교간단、은정성호，가이만족영자동보전궤다삼수동시재선변식적수구。
IPMSM parameters such as stator resistance, d-q axis inductance, permanent magnet flux linkage can identify at the same time based on the recursive least square algorithm. Add a forgetting factor, improve the role of the new data, and reduce the role of the old data. Comparing Matlab simulation result with PMSM parameters, the identification parameters can be converged to the true values rapidly, and it has small error, high precision. The algorithm is simple, high stableness, can meet with the demand of online identification of PMSM parameters.