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Book ChapterDOI

Control of Induction Motor Using Artificial Neural Network

TLDR
This paper has 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.
Abstract
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.

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Citations
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Journal ArticleDOI

Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network

TL;DR: A novel recurrent interval type-2 fuzzy brain emotional learning filter (RT2BELF) is proposed for achieving favourable filtering performance and the superiority of the proposed method is confirmed by the results comparison with some noise cancellation methods.
Proceedings ArticleDOI

Performance Analysis of Adaptive Integrated Power Conversion System for Electric Vehicles

TL;DR: In this article , an adaptive integrated power conversion system (IPCS) is examined in which could eliminate the need for separate power converters and perform in two modes: battery charging and electric propulsion.
References
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Journal ArticleDOI

Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive

TL;DR: The accuracy of the estimated speed achieved experimentally, without the speed sensor clearly demonstrates the reliable and high-performance operation of the drive.
Journal ArticleDOI

Band-constrained technique for direct torque control of induction motor

TL;DR: A novel technique for the direct torque control (DTC) of an induction motor is proposed, which overcomes the trouble of high torque ripple afflicting the conventional DTC technique and yields a considerable reduction of the torque ripple.
Journal ArticleDOI

Formal Derivation of Direct Torque Control for Induction Machines

TL;DR: In this article, a formal derivation of direct torque control (DTC) based on singular perturbation and nonlinear control tools is presented, and it is shown that DTC is a special case of a slidingmode controller based on the multiple time-scale properties of the induction machine.
Proceedings ArticleDOI

Comparison of Fuzzy Control Rules Using MATLAB Toolbox and Simulink for DC Induction Motor-Speed Control

TL;DR: A fuzzy logic control for a speed control of DC induction motor for low maintenance and robustness induction motors and the effects of the fuzzy control rules on the performance of the DC- induction motor-speed control are presented.
Proceedings ArticleDOI

A flux estimator for field oriented control of an induction motor using an artificial neural network

TL;DR: In this paper, the authors presented a neural network flux estimator that is able to estimate the rotor flux magnitude or position accurately for line-start operation of an induction motor, with an accuracy of less than 0.03 p.u.