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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| Format: | Article |
| Language: | English |
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International Islamic University Malaysia-IIUM
2025
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43845/1/Optimized%20type%202%20fuzzy%20logic%20control%20for%20low-speed%20vehicle%20pedal%20pressing.pdf |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2025-02-19T02:40:19Z |
| format | Article |
| id | UMPir43845 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2025-02-19T02:40:19Z |
| publishDate | 2025 |
| publisher | International Islamic University Malaysia-IIUM |
| record_format | dspace |
| spelling | UMPir438452025-02-18T08:11:58Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/43845/1/Optimized%20type%202%20fuzzy%20logic%20control%20for%20low-speed%20vehicle%20pedal%20pressing.pdf |
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