QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE

High performance motor drives require high accuracy, fast response, wide range of control, robustness and immunity from the effect of parameter variations. Three phase motors have a complex and highly nonlinear mathematical model associated with interactive parameters. This makes designing a convent...

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Main Authors: Mohamed Elsharif, Tareq Elgargani
Format: Article
Language:English
Published: XLESCIENCE 2020-12-01
Series:International Journal of Advances in Signal and Image Sciences
Subjects:
Online Access:https://xlescience.org/index.php/IJASIS/article/view/61
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spelling doaj-24f256a06dd6445d8a2174f407de72432021-01-20T13:50:56ZengXLESCIENCEInternational Journal of Advances in Signal and Image Sciences2457-03702020-12-0162202810.29284/ijasis.6.2.2020.20-2861QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVEMohamed ElsharifTareq ElgarganiHigh performance motor drives require high accuracy, fast response, wide range of control, robustness and immunity from the effect of parameter variations. Three phase motors have a complex and highly nonlinear mathematical model associated with interactive parameters. This makes designing a conventional controller for such a system is a hard task. Researchers are paying more attention to fuzzy logic controllers (FLCs) since they can be employed to control complex or nonlinear systems even without knowing their mathematical model. The main task of this paper is to design and implement an FLC for indirect field orientated control of a three phase induction motor drive. The proposed controller is a proportional-derivative (PD) FLC. It uses the speed and its derivative as input and the electromagnetic torque as output. The input and output are coupled with simple linguistic if-then rules. The spread of each input and output is adjusted using a gain block to achieve the best performance in a trial-and-error process. Also, an incremental counter is attached to the output of the controller to yield the desired electromagnetic torque. The design was implemented and tested using MATLAB/SIMULINK. Finally, the simulation results and figures were presented.https://xlescience.org/index.php/IJASIS/article/view/61fuzzy controller, rule base, indirect field oriented control, induction motor drive, speed control
collection DOAJ
language English
format Article
sources DOAJ
author Mohamed Elsharif
Tareq Elgargani
spellingShingle Mohamed Elsharif
Tareq Elgargani
QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
International Journal of Advances in Signal and Image Sciences
fuzzy controller, rule base, indirect field oriented control, induction motor drive, speed control
author_facet Mohamed Elsharif
Tareq Elgargani
author_sort Mohamed Elsharif
title QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
title_short QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
title_full QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
title_fullStr QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
title_full_unstemmed QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE
title_sort quick-response fuzzy-controlled induction motor drive
publisher XLESCIENCE
series International Journal of Advances in Signal and Image Sciences
issn 2457-0370
publishDate 2020-12-01
description High performance motor drives require high accuracy, fast response, wide range of control, robustness and immunity from the effect of parameter variations. Three phase motors have a complex and highly nonlinear mathematical model associated with interactive parameters. This makes designing a conventional controller for such a system is a hard task. Researchers are paying more attention to fuzzy logic controllers (FLCs) since they can be employed to control complex or nonlinear systems even without knowing their mathematical model. The main task of this paper is to design and implement an FLC for indirect field orientated control of a three phase induction motor drive. The proposed controller is a proportional-derivative (PD) FLC. It uses the speed and its derivative as input and the electromagnetic torque as output. The input and output are coupled with simple linguistic if-then rules. The spread of each input and output is adjusted using a gain block to achieve the best performance in a trial-and-error process. Also, an incremental counter is attached to the output of the controller to yield the desired electromagnetic torque. The design was implemented and tested using MATLAB/SIMULINK. Finally, the simulation results and figures were presented.
topic fuzzy controller, rule base, indirect field oriented control, induction motor drive, speed control
url https://xlescience.org/index.php/IJASIS/article/view/61
work_keys_str_mv AT mohamedelsharif quickresponsefuzzycontrolledinductionmotordrive
AT tareqelgargani quickresponsefuzzycontrolledinductionmotordrive
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