考虑铁耗电阻的感应电机参数在线辨识技术

传统感应电机高性能控制方案中,电机模型忽略了电机铁耗的影响,与实际物理模型有一定的偏差。基于包含铁耗等效电阻的感应电机模型,建立新的励磁电流计算方法,对电流和电压信号进行高精度的采样和离散处理,并对电机模型进行数学推导,得到基于递推最小二乘法(RLS)的辨识模型,实现了对铁耗电阻、转子电阻等重要电机参数的在线辨识。建立了MATLAB仿真模型,对参数辨识算法进行验证。仿真试验结果表明:所提方法可以在不同工况下实现较高精度的辨识,并可以快速地跟随待辨识参数的变化,为感应电机高性能控制奠定了基础。

Online Identification of Induction Motor Parameters ConsideringIron Loss Resistance

In the traditional highperformance control scheme of induction motor, the motor model ignored the influence of motor iron loss, and had a certain deviation from the actual physical model. Based on the induction motor model including the iron loss equivalent resistance, a new excitation current calculation method was established. The current and voltage signals were sampled and discretely processed with high precision, and the motor model was mathematically derived, based on which the recursive least squares algorithm was used for online identification of iron loss resistance, rotor resistance, etc. The MATLAB simulation model was established, and the parameter identification algorithm was verified. The simulation results showed that the proposed method could achieve high precision identification under different working conditions, and could quickly follow the variation of the parameters to be identified, which provided reference for induction motor highperformance control.