Fuzzy logic based vehicle speed control performance considering different membership types

Vehicle dynamics like acceleration, braking, and other factors can be controlled based on its speed. This paper design and analyse a fuzzy logic controller to control the speed of a vehicle to achieve the optimum control characteristics. Different number of fuzzy sets and fuzzy membership types know...

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Main Authors: Hamzah, Ahmad, Siti Nur Aini, Basiran
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/29270/
http://umpir.ump.edu.my/id/eprint/29270/1/Fuzzy%20logic%20based%20vehicle%20speed%20control%20performance%20considering.pdf
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author Hamzah, Ahmad
Siti Nur Aini, Basiran
author_facet Hamzah, Ahmad
Siti Nur Aini, Basiran
author_sort Hamzah, Ahmad
building UMP Institutional Repository
collection Online Access
description Vehicle dynamics like acceleration, braking, and other factors can be controlled based on its speed. This paper design and analyse a fuzzy logic controller to control the speed of a vehicle to achieve the optimum control characteristics. Different number of fuzzy sets and fuzzy membership types known as triangular, trapezoid and Gaussian are configured to obtain the best solution for the problem. The vehicle speed as the inputs for the system is varied to simulate different cases of vehicle movement to determine the effectiveness of the system. The vehicle acceleration as the output is then being tuned to match and decide the vehicle motion appropriately with smooth movement. The effectiveness and the validity of the controller will be verified by some simulations and are assessed based on time consumption. Result has shown that Gaussian membership type has better results for less than four fuzzy sets.
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publisher Asian Research Publishing Network (ARPN)
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spelling ump-292702022-08-23T08:02:32Z http://umpir.ump.edu.my/id/eprint/29270/ Fuzzy logic based vehicle speed control performance considering different membership types Hamzah, Ahmad Siti Nur Aini, Basiran TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Vehicle dynamics like acceleration, braking, and other factors can be controlled based on its speed. This paper design and analyse a fuzzy logic controller to control the speed of a vehicle to achieve the optimum control characteristics. Different number of fuzzy sets and fuzzy membership types known as triangular, trapezoid and Gaussian are configured to obtain the best solution for the problem. The vehicle speed as the inputs for the system is varied to simulate different cases of vehicle movement to determine the effectiveness of the system. The vehicle acceleration as the output is then being tuned to match and decide the vehicle motion appropriately with smooth movement. The effectiveness and the validity of the controller will be verified by some simulations and are assessed based on time consumption. Result has shown that Gaussian membership type has better results for less than four fuzzy sets. Asian Research Publishing Network (ARPN) 2015-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29270/1/Fuzzy%20logic%20based%20vehicle%20speed%20control%20performance%20considering.pdf Hamzah, Ahmad and Siti Nur Aini, Basiran (2015) Fuzzy logic based vehicle speed control performance considering different membership types. ARPN Journal of Engineering and Applied Sciences, 10 (21). pp. 9773-9778. ISSN 1819-6608. (Published) http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1115_2981.pdf
spellingShingle TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
Hamzah, Ahmad
Siti Nur Aini, Basiran
Fuzzy logic based vehicle speed control performance considering different membership types
title Fuzzy logic based vehicle speed control performance considering different membership types
title_full Fuzzy logic based vehicle speed control performance considering different membership types
title_fullStr Fuzzy logic based vehicle speed control performance considering different membership types
title_full_unstemmed Fuzzy logic based vehicle speed control performance considering different membership types
title_short Fuzzy logic based vehicle speed control performance considering different membership types
title_sort fuzzy logic based vehicle speed control performance considering different membership types
topic TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
url http://umpir.ump.edu.my/id/eprint/29270/
http://umpir.ump.edu.my/id/eprint/29270/
http://umpir.ump.edu.my/id/eprint/29270/1/Fuzzy%20logic%20based%20vehicle%20speed%20control%20performance%20considering.pdf