Adaptive neuro-fuzzy inference system modeling of an induction motor

被引：0
|
作者：
Vasudevan, M [1 ]
Arumugam, R [1 ]
Paramasivam, S [1 ]
机构：
[1] Anna Univ, Dept Elect & Elect Engn, Madras 25, Tamil Nadu, India
来源：
PEDS 2003 : FIFTH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS, VOLS 1 AND 2, PROCEEDINGS | 2003年
关键词：
parameters; direct torque control; ANFIS; induction motor;
D O I：
10.1109/PEDS.2003.1282877
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new modeling technique for an induction motor using Adaptive Neuro-fuzzy inference system (ANFIS). A simple and more realistic model of the induction motor has been developed. The values of stator voltage (Vs), stator current (Is) and rotor angular velocity (omega(r)) are taken from the free acceleration test data for simulation and 5 HP motor was used. Using ANFIS, the parameter sets of the model are estimated. The simplified model contains eleven estimated parameters. In this paper, a new estimation technique for modeling of induction motor is presented and simulation was carried out. The identified model can be utilized for electric drives.
引用
收藏
页码：427 / 432
页数：6
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