Control of Induction Motor Using Artificial Neural Network

被引：1

作者：

Kumar, Abhishek ^{[1
]}

Singh, Rohit ^{[1
]}

Mahodi, Chandan Singh ^{[1
]}

Sahoo, Sarat Kumar ^{[1
]}

机构：

[1] VIT Univ, Vellore, Tamil Nadu, India

来源：

ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2016 | 2017年 / 517卷

关键词：

Induction motor; v/f control; Artificial neural network; Back propagation learning; Levenberg-marquardt algorithm; DIRECT TORQUE CONTROL;

D O I：

10.1007/978-981-10-3174-8_66

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main objective of this paper is to design a controller for control of an Induction motor. In this paper, we have proposed v/f control of induction motor using artificial neural network, the network is trained using back propagation algorithm and Levenberg-Marquardt learning is used faster computation. The main approach is to keep voltage and frequency ratio constant to obtain constant flux over the entire range of operation and thus to have precise control of the machine. The effectiveness of the controller is demonstrated using MATLAB/Simulink simulation.

引用

页码：791 / 804

页数：14

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