Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)

Hybrid Fuzzy proportional-integral-derivative (PID) controllers (F-PID-C) is designed and analyzed for controlling speed of brushless DC (BLDC) motor. A simulation investigation of the controller for controlling the speed of BLDC motors is performed to beat the presence of nonlinearities and uncerta...

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Main Author:	Farag A. M., Elkarghali
Format:	Thesis
Language:	English English English
Published:	2017
Subjects:	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
Online Access:	http://eprints.uthm.edu.my/182/1/24p%20FARAG%20A.%20M.%20ELKARGHALI.pdf http://eprints.uthm.edu.my/182/2/FARAG%20A.%20M.%20ELKARGHALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/182/3/FARAG%20A.%20M.%20ELKARGHALI%20WATERMARK.pdf
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id	my-uthm-ep.182
record_format	uketd_dc
spelling	my-uthm-ep.1822021-06-22T01:37:59Z Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM) 2017-12 Farag A. M., Elkarghali TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Hybrid Fuzzy proportional-integral-derivative (PID) controllers (F-PID-C) is designed and analyzed for controlling speed of brushless DC (BLDC) motor. A simulation investigation of the controller for controlling the speed of BLDC motors is performed to beat the presence of nonlinearities and uncertainties in the system. The fuzzy logic controller (FLC) is designed according to fuzzy rules so that the systems are fundamentally robust. There are 49 fuzzy rules for each parameter of FUZZY-PID controller. Fuzzy Logic is used to tune each parameter of the proportional, integral and derivative ( kp,ki,kd) gains, respectively of the PID controller. The FLC has two inputs i.e., i) the motor speed error between the reference and actual speed and ii) the change in speed of error (rate of change error). The three outputs of the FLC are the proportional gain, kp, integral gain ki and derivative gain kd, gains to be used as the parameters of PID controller in order to control the speed of the BLDC motor. Various types of membership functions have been used in this project i.e., gaussian, trapezoidal and triangular are assessed in the fuzzy control and these membership functions are used in FUZZY PID for comparative analysis. The membership functions and the rules have been defined using fuzzy system editor given in MATLAB. Two distinct situations are simulated, which are start response, step response with load and without load. The FUZZY-PID controller has been tuned by trial and error and performance parameters are rise time, settling time and overshoot. The findings show that the trapezoidal membership function give good results of short rise time, fast settling time and minimum overshoot compared to others for speed control of the BLDC motor. 2017-12 Thesis http://eprints.uthm.edu.my/182/ http://eprints.uthm.edu.my/182/1/24p%20FARAG%20A.%20M.%20ELKARGHALI.pdf text en public http://eprints.uthm.edu.my/182/2/FARAG%20A.%20M.%20ELKARGHALI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/182/3/FARAG%20A.%20M.%20ELKARGHALI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
spellingShingle	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers Farag A. M., Elkarghali Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
description	Hybrid Fuzzy proportional-integral-derivative (PID) controllers (F-PID-C) is designed and analyzed for controlling speed of brushless DC (BLDC) motor. A simulation investigation of the controller for controlling the speed of BLDC motors is performed to beat the presence of nonlinearities and uncertainties in the system. The fuzzy logic controller (FLC) is designed according to fuzzy rules so that the systems are fundamentally robust. There are 49 fuzzy rules for each parameter of FUZZY-PID controller. Fuzzy Logic is used to tune each parameter of the proportional, integral and derivative ( kp,ki,kd) gains, respectively of the PID controller. The FLC has two inputs i.e., i) the motor speed error between the reference and actual speed and ii) the change in speed of error (rate of change error). The three outputs of the FLC are the proportional gain, kp, integral gain ki and derivative gain kd, gains to be used as the parameters of PID controller in order to control the speed of the BLDC motor. Various types of membership functions have been used in this project i.e., gaussian, trapezoidal and triangular are assessed in the fuzzy control and these membership functions are used in FUZZY PID for comparative analysis. The membership functions and the rules have been defined using fuzzy system editor given in MATLAB. Two distinct situations are simulated, which are start response, step response with load and without load. The FUZZY-PID controller has been tuned by trial and error and performance parameters are rise time, settling time and overshoot. The findings show that the trapezoidal membership function give good results of short rise time, fast settling time and minimum overshoot compared to others for speed control of the BLDC motor.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Farag A. M., Elkarghali
author_facet	Farag A. M., Elkarghali
author_sort	Farag A. M., Elkarghali
title	Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
title_short	Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
title_full	Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
title_fullStr	Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
title_full_unstemmed	Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
title_sort	hybrid fuzzy- proportionl integral derivative controller (f-pid-c) for control of speed brushless direct curren motor (bldcm)
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronic Engineering
publishDate	2017
url	http://eprints.uthm.edu.my/182/1/24p%20FARAG%20A.%20M.%20ELKARGHALI.pdf http://eprints.uthm.edu.my/182/2/FARAG%20A.%20M.%20ELKARGHALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/182/3/FARAG%20A.%20M.%20ELKARGHALI%20WATERMARK.pdf
_version_	1747830548147994624

Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)

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