摘要：针对传统参数辨识方法收敛速度较慢的问题，提出了一种基于MRAS的改进参数辨识方法。该方法在MRAS参数辨识方法中引入了离线辨识技术，将离线辨识所得结果作为在线辨识算法的初值，提高了辨识结果的收敛速度。建立了基于永磁同步电机矢量控制系统的参数在线辨识模型，对所提方法进行了仿真验证，结果表明该方法可有效提高辨识结果的收敛速度。

关键词：永磁同步电机；模型参考自适应；参数辨识
Abstract: The traditional parameter identification method has slower convergence speed, so an improved parameter identification method based on MRAS was proposed. This method introduced in offline identification technology, and the offline identification results as the initial value of an online identification algorithm to improve the convergence speed. An online identification model was built on permanent magnet synchronous motor vector control system. The simulation results show that this method can effectively improve the convergence speed of parameter identification results.

Key words: permanent magnet synchronous motor; model reference adaptive control; parameter identification