ANFIS Based Modified Voltage Model RFMRAS Speed Observer For Induction Motor Drive

被引：0
|
作者：
Giribabu, D. [1 ]
Kumar, Kiran [1 ]
Chandra, Sateesh [2 ]
机构：
[1] NIT Kurukshetra, Dept Elect Engn, Kurukshetra, Haryana, India
[2] SCEC Hyderabad, Dept Elect Engn, Hyderabad, Telangana, India
来源：
2015 INTERNATIONAL CONFERENCE ON ENERGY, POWER AND ENVIRONMENT: TOWARDS SUSTAINABLE GROWTH (ICEPE) | 2015年
关键词：
Induction motor; Vector control; Model Referenece Adaptive System and Adaptive Neuro Fuzzy Inference System; SENSORLESS CONTROL; VECTOR CONTROL; ZERO SPEED; VERY-LOW; COMPENSATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：6
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