基于改进模型参考自适应系统的永磁同步电机参数辨识

Parameter identification method of permanent magnet synchronous motor based on improved model reference adaptive system

中文关键词  永磁同步电机  参数辨识  模型参考自适应系统  在线辨识  模型欠秩

英文关键词  permanent magnet synchronous motor  parameter identification  model reference adaptive system  online identification  model underrank

中文摘要

      针对永磁同步电机多参数辨识时, 数学模型存在的欠秩问题, 提出一种改进模型参考自适应系统的分步在 线辨识方法. 该方法采用Popov超稳定性理论设置自适应律, 可以保证辨识时系统的稳定性; 在改进的模型参考自 适应系统中, 首先辨识定子电阻、转子磁链, 待两个参数辨识结果稳定后, 再辨识直交轴电感. 这样在同一个模型中 实现多个参数辨识, 克服了由于数学模型欠秩问题而导致辨识结果的不确定性. 仿真结果表明, 本文设计的方法辨 识速度较快, 辨识度高, 具有一定的实用性.

英文摘要

      Aiming at the under-ranking problem of the mathematical model during multi-parameter identification of permanent magnet synchronous motors, a step-by-step online identification method to improve the model reference adaptive system is proposed. This method uses Popov hyperstability theory to set the adaptive law, which can ensure the identification stability of the system. In the improved model reference adaptive system, the stator resistance and the rotor flux are first identified, and after the two parameter identification results are stable, the orthogonal axis inductance is identified. In this way, multiple parameters are implemented in the same model. The identification overcomes the uncertainty of the identification result due to the underranking problem of the mathematical model. The simulation results show that the method designed in this paper has fast identification speed, high identification degree, and has certain practicability.