Fault Tolerant Control Using Artificial Neural Network for Induction Machine

<p>The best alternative machine for synchronous and induction machine is switched reluctance machine for various applications. An artificial neural network (ANN) based vector controller is implemented for novel converter to drive switched reluctance motor (SRM) in this paper. To reduce the cost and simplified the controller an effective configuration of converter is proposed with only 4 pulse-withmodulation (PWM) based switches. The 6 pole stator and 4 pole rotor machine is considered in this paper to present results based on MATLAB. The ripples in torque are reduced by proposing vector controller by using novel configuration of converter. Generally SRM machines are having high ripples in torque, hence less number of switches will be feasible solution to drive the machine in order to reduce ripples. The proposed controller can also help to operate system with less ripples in torque since the controller having both torque and flux hysteresis controllers. The extensive results are presented on Simulink platform to validate the proposed method under both steady state as well as transient conditions.</p>

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A power control strategy for flywheel doubly-fed induction machine storage system using artificial neural network

Electric Power Systems Research ◽

10.1016/j.epsr.2012.11.012 ◽

2013 ◽

Vol 96 ◽

pp. 267-276 ◽

Cited By ~ 19

Author(s):

A. Abdel-Khalik ◽

A. Elserougi ◽

A. Massoud ◽

S. Ahmed

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Power Control ◽

Control Strategy ◽

Storage System ◽

Induction Machine ◽

Doubly Fed Induction Machine ◽

Artificial Neural ◽

Doubly Fed

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Control of doubly-fed induction machine storage system for constant charging/discharging grid power using artificial neural network

6th IET International Conference on Power Electronics, Machines and Drives (PEMD 2012) ◽

10.1049/cp.2012.0177 ◽

2012 ◽

Cited By ~ 1

Author(s):

A.S. Abdel-Khalik ◽

A. Elserougi ◽

A. Massoud ◽

S. Ahmed

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Storage System ◽

Induction Machine ◽

Doubly Fed Induction Machine ◽

Artificial Neural ◽

Doubly Fed

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Dual Direct Torque Control of Doubly Fed Induction Machine using Artificial Neural Network

2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS) ◽

10.1109/pais.2018.8598497 ◽

2018 ◽

Cited By ~ 1

Author(s):

Saad KHADAR ◽

Abdellah KOUZOU

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Direct Torque Control ◽

Induction Machine ◽

Torque Control ◽

Doubly Fed Induction Machine ◽

Artificial Neural ◽

Doubly Fed

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vector control of Induction machine using distributed delay neural flux observers

10.31730/osf.io/upezw ◽

2019 ◽

Author(s):

Daniel Igbokwe

Keyword(s):

Neural Network ◽

Time Series ◽

Artificial Neural Network ◽

Vector Control ◽

Induction Motor ◽

Electric Vehicle ◽

Induction Machine ◽

Distributed Delay ◽

Artificial Neural

Vector control of induction motor, has gaineddominance due to the improvement of computing hardware and the extended use of induction motor beyond industrial uses such asthe electric vehicle, and automated medicalmachinery. The removal of the flux sensorsnecessitates the use of estimators to estimatethe flux of induction machine. This paper usethe artificial neural network to estimate theflux of the induction motor along the directand quadrature axis, and make it available forfeedback. Distributed delay neural networkswhich are more suited for time series problems is used in place of plain feed forwardneural networks.

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