基于ESO的感应电机磁链观测与转子时间常数辨识

Flux Observer and Rotor Time Constant Identification of Induction Motor Based on ESO

为进一步提高感应电机矢量控制系统磁场定向和速度跟踪的精度,需要准确的转子时间常数在线辨识。本文在传统模型参考自适应的基础上进行优化,用扩展状态观测器(ESO)作为参考模型替代电压型磁链观测器,解决了电压型磁链观测器的积分饱和及直流偏置问题,并将带有转子时间常数变量的电流模型作为可调模型,用Popov超稳定理论选取合适的自适应律对转子时间常数进行估算。仿真和实验结果表明,基于ESO的感应电机磁链观测与转子时间常数辨识方法可行,转子时间常数辨识准确,且对电机负载扰动鲁棒性强,电机转速跟踪精度高。

In order to further improve the accuracy of the direction of magnetic field and speed tracking in induction motor vector control system,it is very important to accurate identify the rotor time constant.This paper made improvement on the traditional model reference adaptive control,changed the original reference model(voltage flux observer)to the extended state observer,which can avoid the problem of integral saturation and DC bias effectively,the current model with variable rotor time constant as the adjustable model,and selected the appropriate adaptive law deduced by Popov super stability theory to estimate the rotor time constant.The simulation and experimental results show that the method is feasible and accurate,and it has strong robustness to the variation of motor parameters,such as the motor load disturbance.