Performance Analysis of Indirect Vector Control Induction Motor using PI, Fuzzy and Neural Network Predictive Control

被引：0
|
作者：
Shushan, Bharat [1 ]
Singh, Madhusudan [1 ]
Bairwa, Girraj Kumar [1 ]
机构：
[1] Delhi Technol Univ, Dept Elect Engn, Delhi, India
来源：
JOURNAL OF ELECTRICAL SYSTEMS | 2010年 / 6卷 / 03期
关键词：
Induction Motor; Indirect Vector Control; PI control; Fuzzy logic control; Neural Network Predictive control;
D O I：
暂无
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：
In this paper performance of an indirect vector control induction motor (IVCIM) have been studied with proportional plus integral (PI) Fuzzy and Neural Network (NN) based controllers. Implementation of PI, fuzzy logic control and NN predictive control for studies of regulation of speed in IVCIM is described under different operating conditions of induction motor. Simulation studies of IVCIM have been carried out in MATLAB. Motor currents, torque and speed of IVCIM have been analysed using three controllers. A comparative analysis performance of induction motor with three controllers has been presented. It is observed that using fuzzy logic control speed reaches at its desired value faster as compared to other controllers while using neural network predictive control motor currents and torque are stabilized (less fluctuating) quickly as compared to PI and Fuzzy controller
引用
收藏
页码：361 / 376
页数：16
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