ANFIS based modified voltage model RFMRAS speed observer for induction motor drive

D. Giribabu, Kiran Kumar, S. Chandra
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引用次数: 6

Abstract

A novel scheme is proposed to reduce the dc drift and stator resistance variation effects in rotor flux based MRAS. In this scheme the voltage model is modified to obtain the compensating voltage from the offset and drift voltages. The low speed performance is improved by implementing the adaptive neuro fuzzy inference system (ANFIS) in adaptive mechanism of MRAS. In this method the reference model is free from dc drift and gives better speed response as voltage and current model rotor flux components are equal. A MATLAB/SIMULINK model of closed loop sensorless indirect vector control induction motor drive at different operating conditions is presented. The results shows faster and better response for ANFIS based model.
基于ANFIS的改进电压模型RFMRAS异步电机调速观测器
提出了一种减小转子磁链MRAS中直流漂移和定子电阻变化影响的新方案。该方案对电压模型进行了修正,从偏置电压和漂移电压中得到补偿电压。在MRAS自适应机制中引入自适应神经模糊推理系统(ANFIS),提高了低速性能。在该方法中,参考模型不受直流漂移的影响,并且在电压模型和电流模型转子磁链分量相等的情况下具有较好的速度响应。给出了闭环无传感器间接矢量控制异步电动机在不同工况下的MATLAB/SIMULINK模型。结果表明,基于ANFIS的模型响应速度更快、效果更好。
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