PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/34112/ http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf |
| _version_ | 1848780858514735104 |
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| author | Abu Hanifah, Rabiatuladawiyah Toha, Siti Fauziah Ahmad, Salmiah |
| author_facet | Abu Hanifah, Rabiatuladawiyah Toha, Siti Fauziah Ahmad, Salmiah |
| author_sort | Abu Hanifah, Rabiatuladawiyah |
| building | IIUM Repository |
| collection | Online Access |
| description | Electric Power Assist Steering (EPAS) system
offers a significant potential in enhancing the driving
performance of a vehicle where the energy conserving issue is
important. In this paper, Ant Colony Optimization (ACO)
algorithm is implemented as tuning mechanism for PID
controller. The aim of this hybrid controller is to minimize
energy consumption of the EPAS system in Electric Vehicle (EV)
by minimizing the assist current supplied to the assist motor. The
ACO algorithm searching technique is applied to search for the
best gain parameters of the PID controller. The fast tuning
feature of ACO algorithm is the factor that distinguish this
hybrid method as compared to conventional trial and error
method PID controller tuning. Simulation results shows the
performance and effectiveness of using ACO algorithm for PID
tuning. |
| first_indexed | 2025-11-14T15:40:21Z |
| format | Proceeding Paper |
| id | iium-34112 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:40:21Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-341122014-01-13T03:47:00Z http://irep.iium.edu.my/34112/ PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle Abu Hanifah, Rabiatuladawiyah Toha, Siti Fauziah Ahmad, Salmiah TJ212 Control engineering Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of this hybrid controller is to minimize energy consumption of the EPAS system in Electric Vehicle (EV) by minimizing the assist current supplied to the assist motor. The ACO algorithm searching technique is applied to search for the best gain parameters of the PID controller. The fast tuning feature of ACO algorithm is the factor that distinguish this hybrid method as compared to conventional trial and error method PID controller tuning. Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning. 2013-11 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf Abu Hanifah, Rabiatuladawiyah and Toha, Siti Fauziah and Ahmad, Salmiah (2013) PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle. In: 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, 26-27 Nov 2013, Royal Bintang Kuala Lumpur. |
| spellingShingle | TJ212 Control engineering Abu Hanifah, Rabiatuladawiyah Toha, Siti Fauziah Ahmad, Salmiah PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title | PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title_full | PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title_fullStr | PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title_full_unstemmed | PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title_short | PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle |
| title_sort | pid-ant colony optimization (aco) control for electric power assist steering system for electric vehicle |
| topic | TJ212 Control engineering |
| url | http://irep.iium.edu.my/34112/ http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf |