Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control

This paper compares the performance of two different control techniques applied to high performance brushless DC motor. The first scheme is self-tuning fuzzy PID controller and the second scheme is model reference adaptive control (MRAC) with PID compensator. The purpose of the control algorithm was...

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Main Authors: Adel A. El-samahy, Mohamed A. Shamseldin
Format: Article
Language:English
Published: Elsevier 2018-09-01
Series:Ain Shams Engineering Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S209044791630003X
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author Adel A. El-samahy
Mohamed A. Shamseldin
author_facet Adel A. El-samahy
Mohamed A. Shamseldin
author_sort Adel A. El-samahy
collection DOAJ
description This paper compares the performance of two different control techniques applied to high performance brushless DC motor. The first scheme is self-tuning fuzzy PID controller and the second scheme is model reference adaptive control (MRAC) with PID compensator. The purpose of the control algorithm was to force the rotor speed to follow the desired reference speed with good accuracy all time. This objective should be achieved for different speed/time tracks regardless of load disturbance and parameter variations. The simulation results presented show that the second control scheme has better performance. Keywords: Brushless DC (BLDC) motor, Model reference adaptive control (MRAC)
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spelling doaj.art-7561cdfdce7e4ceca092e724fc8464bb2022-12-21T22:21:44ZengElsevierAin Shams Engineering Journal2090-44792018-09-0193341352Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive controlAdel A. El-samahy0Mohamed A. Shamseldin1Faculty of Engineering, Helwan University, EgyptFaculty of Engineering and Technology, Future University in Egypt, Egypt; Corresponding author.This paper compares the performance of two different control techniques applied to high performance brushless DC motor. The first scheme is self-tuning fuzzy PID controller and the second scheme is model reference adaptive control (MRAC) with PID compensator. The purpose of the control algorithm was to force the rotor speed to follow the desired reference speed with good accuracy all time. This objective should be achieved for different speed/time tracks regardless of load disturbance and parameter variations. The simulation results presented show that the second control scheme has better performance. Keywords: Brushless DC (BLDC) motor, Model reference adaptive control (MRAC)http://www.sciencedirect.com/science/article/pii/S209044791630003X
spellingShingle Adel A. El-samahy
Mohamed A. Shamseldin
Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
Ain Shams Engineering Journal
title Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
title_full Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
title_fullStr Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
title_full_unstemmed Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
title_short Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control
title_sort brushless dc motor tracking control using self tuning fuzzy pid control and model reference adaptive control
url http://www.sciencedirect.com/science/article/pii/S209044791630003X
work_keys_str_mv AT adelaelsamahy brushlessdcmotortrackingcontrolusingselftuningfuzzypidcontrolandmodelreferenceadaptivecontrol
AT mohamedashamseldin brushlessdcmotortrackingcontrolusingselftuningfuzzypidcontrolandmodelreferenceadaptivecontrol