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Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm

This paper describes the systematic design and experimental analysis of a Fuzzy Logic Controller (FLC) to govern vehicle speed for low-speed driving by adjusting an attached linear actuator that governs the vehicle's pedal. The research investigates two FLC approaches: the standard Type 1 FLC a...

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Main Authors:	Azrul Azim, Abdullah Hashim, Nor Maniha, Abdul Ghani, Salmiah, Ahmad, Mohd Ruzaini, Hashim, Noor Zirwatul Ahlam, Naharuddin, Addie, Irawan
格式:	Article
语言:	English
出版:	International Islamic University Malaysia-IIUM 2025
主题:	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
在线阅读:	http://umpir.ump.edu.my/id/eprint/43845/1/Optimized%20type%202%20fuzzy%20logic%20control%20for%20low-speed%20vehicle%20pedal%20pressing.pdf http://umpir.ump.edu.my/id/eprint/43845/ https://doi.org/10.31436/IIUMEJ.V26I1.3436 https://doi.org/10.31436/IIUMEJ.V26I1.3436
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id	my.ump.umpir.43845
record_format	eprints
spelling	my.ump.umpir.438452025-02-18T08:11:58Z http://umpir.ump.edu.my/id/eprint/43845/ Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Mohd Ruzaini, Hashim Noor Zirwatul Ahlam, Naharuddin Addie, Irawan T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper describes the systematic design and experimental analysis of a Fuzzy Logic Controller (FLC) to govern vehicle speed for low-speed driving by adjusting an attached linear actuator that governs the vehicle's pedal. The research investigates two FLC approaches: the standard Type 1 FLC and the advanced Type 2 FLC, both optimized using the Hybrid Spiral Sine Cosine Algorithm (SSCA). The integrated system linking the actuator to the dynamics model of the vehicle shows improved ability in the manner in which control is done. Physical modeling and simulation were done in Simscape MATLAB, which provides an opportunity for modeling and visual description of the actuator system's relationship with the dynamics of the car. The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. This superior performance highlights the potential of the SSCA-optimized Type 2 FLC to automate pedal pressing for vehicle speed control, effectively replacing repetitive pedal actions and reducing driver fatigue, as this mechanism proves capable of controlling vehicle speed with high precision. International Islamic University Malaysia-IIUM 2025 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/43845/1/Optimized%20type%202%20fuzzy%20logic%20control%20for%20low-speed%20vehicle%20pedal%20pressing.pdf Azrul Azim, Abdullah Hashim and Nor Maniha, Abdul Ghani and Salmiah, Ahmad and Mohd Ruzaini, Hashim and Noor Zirwatul Ahlam, Naharuddin and Addie, Irawan (2025) Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm. IIUM Engineering Journal, 26 (1). pp. 563-584. ISSN 1511-788X. (Published) https://doi.org/10.31436/IIUMEJ.V26I1.3436 https://doi.org/10.31436/IIUMEJ.V26I1.3436
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Mohd Ruzaini, Hashim Noor Zirwatul Ahlam, Naharuddin Addie, Irawan Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
description	This paper describes the systematic design and experimental analysis of a Fuzzy Logic Controller (FLC) to govern vehicle speed for low-speed driving by adjusting an attached linear actuator that governs the vehicle's pedal. The research investigates two FLC approaches: the standard Type 1 FLC and the advanced Type 2 FLC, both optimized using the Hybrid Spiral Sine Cosine Algorithm (SSCA). The integrated system linking the actuator to the dynamics model of the vehicle shows improved ability in the manner in which control is done. Physical modeling and simulation were done in Simscape MATLAB, which provides an opportunity for modeling and visual description of the actuator system's relationship with the dynamics of the car. The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. This superior performance highlights the potential of the SSCA-optimized Type 2 FLC to automate pedal pressing for vehicle speed control, effectively replacing repetitive pedal actions and reducing driver fatigue, as this mechanism proves capable of controlling vehicle speed with high precision.
format	Article
author	Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Mohd Ruzaini, Hashim Noor Zirwatul Ahlam, Naharuddin Addie, Irawan
author_facet	Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Mohd Ruzaini, Hashim Noor Zirwatul Ahlam, Naharuddin Addie, Irawan
author_sort	Azrul Azim, Abdullah Hashim
title	Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
title_short	Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
title_full	Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
title_fullStr	Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
title_full_unstemmed	Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
title_sort	optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
publisher	International Islamic University Malaysia-IIUM
publishDate	2025
url	http://umpir.ump.edu.my/id/eprint/43845/1/Optimized%20type%202%20fuzzy%20logic%20control%20for%20low-speed%20vehicle%20pedal%20pressing.pdf http://umpir.ump.edu.my/id/eprint/43845/ https://doi.org/10.31436/IIUMEJ.V26I1.3436 https://doi.org/10.31436/IIUMEJ.V26I1.3436
_version_	1827518408051130368
score	13.251813

Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm

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