A comparison of type 1 and type 2 fuzzy logic controller for DC motor system
In today’s modern world application, there are high-level uncertainties that are faced and affecting every kind of operation in various industries. Thus, researchers, today are on the rise to find solutions that will able help to reduce these uncertainties in many types of situations especially cont...
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Format: | Conference or Workshop Item |
Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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Online Access: | http://umpir.ump.edu.my/id/eprint/39455/1/A%20Comparison%20of%20Type%201%20and%20Type%202%20Fuzzy%20Logic%20Controller%20for%20DC%20Motor%20System.pdf http://umpir.ump.edu.my/id/eprint/39455/2/A%20comparison%20of%20type%201%20and%20type%202%20fuzzy%20logic%20controller%20for%20DC%20motor%20system_ABS.pdf |
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author | Nafrizuan, Mat Yahya Nurainaa, Elias Muhammad Hazim, Mohd Nordin |
author_facet | Nafrizuan, Mat Yahya Nurainaa, Elias Muhammad Hazim, Mohd Nordin |
author_sort | Nafrizuan, Mat Yahya |
collection | UMP |
description | In today’s modern world application, there are high-level uncertainties that are faced and affecting every kind of operation in various industries. Thus, researchers, today are on the rise to find solutions that will able help to reduce these uncertainties in many types of situations especially control system applications. The type-1 Fuzzy Logic Controller is shown not to be able to handle a high level of uncertainties and the new type-2 Fuzzy Logic Controller is now being said to be able to do a better performance than the type-1 especially in controlling a DC motor system. This can be seen by the simulation graph that clearly observes the comparison of both types. The result where FLC type 2 outperforms FLC type 1 with reduced settling time and rising time can be seen. In conclusion, the new type-2 FLC is now able to overcome the limits of what type-1 FLC are able to do and this will give birth to better and improved performance of new Fuzzy Logic Controllers that is well suited as controllers for DC motor system. This paper will briefly discuss the comparison between both of these types of FLC and the benefits. |
first_indexed | 2024-03-06T13:11:27Z |
format | Conference or Workshop Item |
id | UMPir39455 |
institution | Universiti Malaysia Pahang |
language | English English |
last_indexed | 2024-03-06T13:11:27Z |
publishDate | 2022 |
publisher | Springer Science and Business Media Deutschland GmbH |
record_format | dspace |
spelling | UMPir394552023-12-01T01:21:02Z http://umpir.ump.edu.my/id/eprint/39455/ A comparison of type 1 and type 2 fuzzy logic controller for DC motor system Nafrizuan, Mat Yahya Nurainaa, Elias Muhammad Hazim, Mohd Nordin T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures In today’s modern world application, there are high-level uncertainties that are faced and affecting every kind of operation in various industries. Thus, researchers, today are on the rise to find solutions that will able help to reduce these uncertainties in many types of situations especially control system applications. The type-1 Fuzzy Logic Controller is shown not to be able to handle a high level of uncertainties and the new type-2 Fuzzy Logic Controller is now being said to be able to do a better performance than the type-1 especially in controlling a DC motor system. This can be seen by the simulation graph that clearly observes the comparison of both types. The result where FLC type 2 outperforms FLC type 1 with reduced settling time and rising time can be seen. In conclusion, the new type-2 FLC is now able to overcome the limits of what type-1 FLC are able to do and this will give birth to better and improved performance of new Fuzzy Logic Controllers that is well suited as controllers for DC motor system. This paper will briefly discuss the comparison between both of these types of FLC and the benefits. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39455/1/A%20Comparison%20of%20Type%201%20and%20Type%202%20Fuzzy%20Logic%20Controller%20for%20DC%20Motor%20System.pdf pdf en http://umpir.ump.edu.my/id/eprint/39455/2/A%20comparison%20of%20type%201%20and%20type%202%20fuzzy%20logic%20controller%20for%20DC%20motor%20system_ABS.pdf Nafrizuan, Mat Yahya and Nurainaa, Elias and Muhammad Hazim, Mohd Nordin (2022) A comparison of type 1 and type 2 fuzzy logic controller for DC motor system. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2021 , 20 September 2021 , Gambang. pp. 125-133., 900 (277979). ISSN 1876-1100 ISBN 978-981192094-3 https://doi.org/10.1007/978-981-19-2095-0_12 |
spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Nafrizuan, Mat Yahya Nurainaa, Elias Muhammad Hazim, Mohd Nordin A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title | A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title_full | A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title_fullStr | A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title_full_unstemmed | A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title_short | A comparison of type 1 and type 2 fuzzy logic controller for DC motor system |
title_sort | comparison of type 1 and type 2 fuzzy logic controller for dc motor system |
topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
url | http://umpir.ump.edu.my/id/eprint/39455/1/A%20Comparison%20of%20Type%201%20and%20Type%202%20Fuzzy%20Logic%20Controller%20for%20DC%20Motor%20System.pdf http://umpir.ump.edu.my/id/eprint/39455/2/A%20comparison%20of%20type%201%20and%20type%202%20fuzzy%20logic%20controller%20for%20DC%20motor%20system_ABS.pdf |
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