关键词: 同步磁阻电机, 参数辨识, 模型参考自适应系统, 主动抗扰控制

Abstract: The parameters of synchronous reluctance motor ( SynRM) were highly susceptible to magnetic saturation,cross-saturation,and variations in operating conditions;therefore,accurate parameter identification was of great significance for improving control accuracy. An improved model reference adaptive system ( MRAS) is developed for SynRM inductance identification,where the conventional proportional-integral ( PI ) -type adaptive law is augmented with a first-order linear active disturbance rejection controller ( ADRC) to strengthen disturbance immunity and transient tracking performance. The d、q-axis SynRM voltage equations are formulated under the synchronous rotating coordinate frame. An MRAS identification model driven by stator current error was constructed,and adaptive laws for the d-axis and q-axis inductances were designed based on Popov’ s hyperstability theory. On the basis of the conventional PI adaptive law, a first-order linear ADRC was introduced to enhance the disturbance rejection capability and dynamic response performance of the parameter identification process . Comparative simulations were conducted on a MATLAB / Simulink-based maximum torque per ampere vector control platform. The results demonstrate that the ADRC-enhanced MRAS achieves markedly reduced steady-state oscillation and faster convergence in inductance tracking relative to the conventional PI-based MRAS. This method provides a reliable online parameter observation approach for high-performance control of synchronous reluctance motor.

Key words: synchronous reluctance motor, parameter identification, model reference adaptive system, active disturbance rejection control