基于扩展状态观测器模型与定子电阻自适应的磁链观测器及其无速度传感器应用

Sensorless Control With Flux Observer Based on Parallel Stator Resistance Adaptation and Extended State Observer Model

针对感应电机无速度传感器矢量控制下的速度辨识问题,设计了一种基于改进扩展状态观测器(extended stateobserver,ESO)的转子磁链观测器,并提出以其作为参考模型的模型参考自适应(ESO-MRAS)转速辨识方法。该磁链观测器将模型中包括转子电阻的不确定部分进行扩展状态并观测,因此对电机转子电阻变化及外部扰动具有良好的鲁棒性,并采用定子电阻在线修正和重构自适应律误差信号解决纯积分和低速区的定子电阻压降问题。在无速度传感器矢量控制系统中,与传统MRAS方法进行对比研究表明,在定子、转子电阻变化显著的大转矩低速区,该算法能够提高系统的转速动态辨识能力和转矩响应能力。仿真和实验结果验证了该方法的正确性和有效性。

Focusing on speed identification of sensorless vector controlled induction motors（IM）, a rotor flux observer based on the improved extended state observer（ESO） was designed and selected as a reference model, and a speed identification method was presented based on ESO and model reference adapt system（MRAS）（ESO-MRAS）. By selection of the proposed observer, the uncertain component of IM model including the rotor resistance converges to its actual value, therefore, the method is robust to rotor resistance variation and extended disturbance. The stator resistance adaption and reconstructed errors of MARS were also qualitatively discussed, which overcomes problems such as pure integration and voltage drop caused by the stator resistance at low speed. The proposed method was introduced into the sensorless vector control system with large-scale rotor resistance, stator resistance variations and rated torque at low speed, and better dynamic performances of speed identification and torque response ability were obtained. Simulations and experimental results prove the validity and practicability of the algorithm by comparing with the classic MRAS method.