An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy

Controllers are mostly used to improve the control system performance. The works related to controllers attract researchers since the controller can be applied to solve many industrial problems involving speed and position. Fuzzy logic controller (FLC) gains popularity since it is widely used in ind...

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Main Author:	Nurainaa, Elas
Format:	Thesis
Language:	English
Published:	2021
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/34359/1/An%20application%20of%20modified%20adaptive%20bats%20sonar.wm.pdf
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id	my-ump-ir.34359
record_format	uketd_dc
spelling	my-ump-ir.343592023-02-08T04:18:48Z An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy 2021-02 Nurainaa, Elas TS Manufactures Controllers are mostly used to improve the control system performance. The works related to controllers attract researchers since the controller can be applied to solve many industrial problems involving speed and position. Fuzzy logic controller (FLC) gains popularity since it is widely used in industrial application. However, the FLC structure is still lacking in terms of the accuracy and time response. Although there are optimization technique used to obtain both accuracy and time response, it is still lacking. Therefore, this research presents works on the FLC system which is the fuzzy inference system that will be optimized by the modified adaptive bats sonar algorithm (MABSA) for the DC servo motor position control. The MABSA will be optimized with the range of the membership input in the FLC. The research aims are to achieve accuracy while minimizing the time response of the DC servo motor. This is done by designing the FLC using the Matlab toolbox. After the FLC is designed completely, the Simulink block diagram for the DC servo motor and FLC are built to see the performance of the controller. The range of the membership function for inputs and outputs will be optimized by the MABSA to get the best positional values. The performance of the developed FLC with the optimized MABSA is verified through the simulation and robustness tests with the system that did not use the FLC and also the system without MABSA. It was demonstrated from the study that the proposed FLC with optimization of MABSA algorithm was able to yield an improvement of 3.8% with respect to the rise time in comparison to other control schemes evaluated. When compared with PSO algorithm, proposed FLC optimized by MABSA showed improvement by 12.5% in rise time and 10% in settling time. PSO-FLC also give 0.6% steady state error compared to the MABSA-FLC. In conclusion, the results validate the better performance in terms of rise time and settling time of the developed FLC that has been optimized by the MABSA. 2021-02 Thesis http://umpir.ump.edu.my/id/eprint/34359/ http://umpir.ump.edu.my/id/eprint/34359/1/An%20application%20of%20modified%20adaptive%20bats%20sonar.wm.pdf pdf en public masters Universiti Malaysia Pahang Faculty of Manufacturing and Mechatronic Engineering Technology Mat Yahya, Nafrizuan
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mat Yahya, Nafrizuan
topic	TS Manufactures
spellingShingle	TS Manufactures Nurainaa, Elas An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
description	Controllers are mostly used to improve the control system performance. The works related to controllers attract researchers since the controller can be applied to solve many industrial problems involving speed and position. Fuzzy logic controller (FLC) gains popularity since it is widely used in industrial application. However, the FLC structure is still lacking in terms of the accuracy and time response. Although there are optimization technique used to obtain both accuracy and time response, it is still lacking. Therefore, this research presents works on the FLC system which is the fuzzy inference system that will be optimized by the modified adaptive bats sonar algorithm (MABSA) for the DC servo motor position control. The MABSA will be optimized with the range of the membership input in the FLC. The research aims are to achieve accuracy while minimizing the time response of the DC servo motor. This is done by designing the FLC using the Matlab toolbox. After the FLC is designed completely, the Simulink block diagram for the DC servo motor and FLC are built to see the performance of the controller. The range of the membership function for inputs and outputs will be optimized by the MABSA to get the best positional values. The performance of the developed FLC with the optimized MABSA is verified through the simulation and robustness tests with the system that did not use the FLC and also the system without MABSA. It was demonstrated from the study that the proposed FLC with optimization of MABSA algorithm was able to yield an improvement of 3.8% with respect to the rise time in comparison to other control schemes evaluated. When compared with PSO algorithm, proposed FLC optimized by MABSA showed improvement by 12.5% in rise time and 10% in settling time. PSO-FLC also give 0.6% steady state error compared to the MABSA-FLC. In conclusion, the results validate the better performance in terms of rise time and settling time of the developed FLC that has been optimized by the MABSA.
format	Thesis
qualification_level	Master's degree
author	Nurainaa, Elas
author_facet	Nurainaa, Elas
author_sort	Nurainaa, Elas
title	An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
title_short	An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
title_full	An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
title_fullStr	An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
title_full_unstemmed	An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
title_sort	application of modified adaptive bats sonar algorithm (mabsa) on fuzzy logic controller for dc motor accuracy
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Manufacturing and Mechatronic Engineering Technology
publishDate	2021
url	http://umpir.ump.edu.my/id/eprint/34359/1/An%20application%20of%20modified%20adaptive%20bats%20sonar.wm.pdf
_version_	1783732185738510336

An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy

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