Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique

This work focuses on adaptive controller design using fuzzy Logic (FL) controller to get better dynamic performance under non-linearities and parameter uncertainties. In the proposed controller, the membership function (MF) parameters are tuned in line with the parameter variations of the motor. The...

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Main Authors: Amirthalingam Ramya, Mahadevan Balaji, Vijayarajan Kamaraj
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8179
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spelling doaj-45765a58675d4c72930288c49322a8d22021-04-02T13:27:12ZengWileyThe Journal of Engineering2051-33052019-04-0110.1049/joe.2018.8179JOE.2018.8179Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO techniqueAmirthalingam Ramya0Mahadevan Balaji1Vijayarajan Kamaraj2SSN College of EngineeringSSN College of EngineeringSSN College of EngineeringThis work focuses on adaptive controller design using fuzzy Logic (FL) controller to get better dynamic performance under non-linearities and parameter uncertainties. In the proposed controller, the membership function (MF) parameters are tuned in line with the parameter variations of the motor. The steady state, regulatory and servo response of the proposed controller are analysed to highlight the merits of the controller. The simulation results indicate that the proposed controller possesses good tracking capability and faster response time in comparison with conventional schemes.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8179machine controlDC motor drivesadaptive controlbrushless DC motorsvelocity controlfuzzy logicfuzzy controlparticle swarm optimisationcontrol system synthesisangular velocity controlBLDC motor driveadaptive controller designfuzzy Logic controllerdynamic performancenonlinearitiesparameter uncertaintiesmembership function parametersparameter variationsservo responseadaptive MFfuzzy logic speed controller
collection DOAJ
language English
format Article
sources DOAJ
author Amirthalingam Ramya
Mahadevan Balaji
Vijayarajan Kamaraj
spellingShingle Amirthalingam Ramya
Mahadevan Balaji
Vijayarajan Kamaraj
Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
The Journal of Engineering
machine control
DC motor drives
adaptive control
brushless DC motors
velocity control
fuzzy logic
fuzzy control
particle swarm optimisation
control system synthesis
angular velocity control
BLDC motor drive
adaptive controller design
fuzzy Logic controller
dynamic performance
nonlinearities
parameter uncertainties
membership function parameters
parameter variations
servo response
adaptive MF
fuzzy logic speed controller
author_facet Amirthalingam Ramya
Mahadevan Balaji
Vijayarajan Kamaraj
author_sort Amirthalingam Ramya
title Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
title_short Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
title_full Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
title_fullStr Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
title_full_unstemmed Adaptive MF tuned fuzzy logic speed controller for BLDC motor drive using ANN and PSO technique
title_sort adaptive mf tuned fuzzy logic speed controller for bldc motor drive using ann and pso technique
publisher Wiley
series The Journal of Engineering
issn 2051-3305
publishDate 2019-04-01
description This work focuses on adaptive controller design using fuzzy Logic (FL) controller to get better dynamic performance under non-linearities and parameter uncertainties. In the proposed controller, the membership function (MF) parameters are tuned in line with the parameter variations of the motor. The steady state, regulatory and servo response of the proposed controller are analysed to highlight the merits of the controller. The simulation results indicate that the proposed controller possesses good tracking capability and faster response time in comparison with conventional schemes.
topic machine control
DC motor drives
adaptive control
brushless DC motors
velocity control
fuzzy logic
fuzzy control
particle swarm optimisation
control system synthesis
angular velocity control
BLDC motor drive
adaptive controller design
fuzzy Logic controller
dynamic performance
nonlinearities
parameter uncertainties
membership function parameters
parameter variations
servo response
adaptive MF
fuzzy logic speed controller
url https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8179
work_keys_str_mv AT amirthalingamramya adaptivemftunedfuzzylogicspeedcontrollerforbldcmotordriveusingannandpsotechnique
AT mahadevanbalaji adaptivemftunedfuzzylogicspeedcontrollerforbldcmotordriveusingannandpsotechnique
AT vijayarajankamaraj adaptivemftunedfuzzylogicspeedcontrollerforbldcmotordriveusingannandpsotechnique
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