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Fuzzy logic controller for DC motor position control

This paper presents the position control of DC motor by using a fuzzy logic controller (FLC) with MATLAB application. Firstly, the DC motor was modeled and converted to a subsystem in Simulink. Then the fuzzy logic controller is designed by using MATLAB toolbox. The scopes include the simulation and...

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Main Authors: Nurainaa, Elias, Nafrizuan, Mat Yahya
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2018
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/22425/1/44.%20Fuzzy%20logic%20controller%20for%20DC%20motor%20position%20control.pdf
http://umpir.ump.edu.my/id/eprint/22425/
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spelling my.ump.umpir.224252019-10-09T03:54:58Z http://umpir.ump.edu.my/id/eprint/22425/ Fuzzy logic controller for DC motor position control Nurainaa, Elias Nafrizuan, Mat Yahya TS Manufactures This paper presents the position control of DC motor by using a fuzzy logic controller (FLC) with MATLAB application. Firstly, the DC motor was modeled and converted to a subsystem in Simulink. Then the fuzzy logic controller is designed by using MATLAB toolbox. The scopes include the simulation and modeling of DC motor, fuzzy controller and different transfer function for DC motor model as a benchmark to the performance of the fuzzy system. The position control is an adaptation of assisted lifting device system. Fuzzy logic control can play an important role because knowledge-based design rules can be easily implemented in the system with unknown structure and it is going to be popular since the control design strategy is simple and practical. This makes FLC an alternative method used in a nonlinear industrial system. The results obtained from FLC are compared with different transfer function used for the dynamic response of the closed-loop system and also the system with and without a controller will be compared. Parameters such as peak position in degree, settling time in second and maximum overshoot in percent will be part of the simulation result. The overall performance shows that system with FLC performs better than compared to the system without FLC. Universiti Malaysia Pahang 2018-07 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22425/1/44.%20Fuzzy%20logic%20controller%20for%20DC%20motor%20position%20control.pdf Nurainaa, Elias and Nafrizuan, Mat Yahya (2018) Fuzzy logic controller for DC motor position control. In: National Conference for Postgraduate Research (NCON-PGR 2018), 28-29 August 2018 , Universiti Malaysia Pahang, Gambang, Pahang. pp. 1-6.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Nurainaa, Elias
Nafrizuan, Mat Yahya
Fuzzy logic controller for DC motor position control
description This paper presents the position control of DC motor by using a fuzzy logic controller (FLC) with MATLAB application. Firstly, the DC motor was modeled and converted to a subsystem in Simulink. Then the fuzzy logic controller is designed by using MATLAB toolbox. The scopes include the simulation and modeling of DC motor, fuzzy controller and different transfer function for DC motor model as a benchmark to the performance of the fuzzy system. The position control is an adaptation of assisted lifting device system. Fuzzy logic control can play an important role because knowledge-based design rules can be easily implemented in the system with unknown structure and it is going to be popular since the control design strategy is simple and practical. This makes FLC an alternative method used in a nonlinear industrial system. The results obtained from FLC are compared with different transfer function used for the dynamic response of the closed-loop system and also the system with and without a controller will be compared. Parameters such as peak position in degree, settling time in second and maximum overshoot in percent will be part of the simulation result. The overall performance shows that system with FLC performs better than compared to the system without FLC.
format Conference or Workshop Item
author Nurainaa, Elias
Nafrizuan, Mat Yahya
author_facet Nurainaa, Elias
Nafrizuan, Mat Yahya
author_sort Nurainaa, Elias
title Fuzzy logic controller for DC motor position control
title_short Fuzzy logic controller for DC motor position control
title_full Fuzzy logic controller for DC motor position control
title_fullStr Fuzzy logic controller for DC motor position control
title_full_unstemmed Fuzzy logic controller for DC motor position control
title_sort fuzzy logic controller for dc motor position control
publisher Universiti Malaysia Pahang
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22425/1/44.%20Fuzzy%20logic%20controller%20for%20DC%20motor%20position%20control.pdf
http://umpir.ump.edu.my/id/eprint/22425/
_version_ 1648741136484794368
score 13.211869

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