Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles
In electric vehicle technology, battery energy conservation is paramount due to the dependency of all system operations on the available battery. The proportional, integral and derivative (PID) controller parameters in the electric power assisted steering system for electric vehicle need to be tuned...
| Main Authors: | , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/74035/ |
| _version_ | 1848857419480825856 |
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| author | Hanifah, Rabiatuladawiah Abu Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd. Khair |
| author_facet | Hanifah, Rabiatuladawiah Abu Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd. Khair |
| author_sort | Hanifah, Rabiatuladawiah Abu |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In electric vehicle technology, battery energy conservation is paramount due to the dependency of all system operations on the available battery. The proportional, integral and derivative (PID) controller parameters in the electric power assisted steering system for electric vehicle need to be tuned with the optimal performance setting so that less current is needed for its operation. This proposed two methods under the umbrella of swarm-intelligence technique namely particle swarm optimization (PSO) and ant colony optimization (ACO) in order to reduce current consumption and to improve controller performance. The investigation involves an analysis on the convergence behavior of both techniques in search for accurate controller parameters. A comprehensive assessment on the assist current supplied to the assist motor of the system is also presented. Investigation reveals that the proposed controllers, PID-PSO and PID-ACO are able to reduce the assist current supplied to the assist motor as compared to the conventional PID controller. This study also demonstrate the feasibility of applying both swarm-intelligence tuning method in terms of reduced time taken to tune the PID controller as compared to the conventional tuning method. |
| first_indexed | 2025-11-15T11:57:15Z |
| format | Article |
| id | upm-74035 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T11:57:15Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-740352025-07-03T03:12:14Z http://psasir.upm.edu.my/id/eprint/74035/ Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles Hanifah, Rabiatuladawiah Abu Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd. Khair In electric vehicle technology, battery energy conservation is paramount due to the dependency of all system operations on the available battery. The proportional, integral and derivative (PID) controller parameters in the electric power assisted steering system for electric vehicle need to be tuned with the optimal performance setting so that less current is needed for its operation. This proposed two methods under the umbrella of swarm-intelligence technique namely particle swarm optimization (PSO) and ant colony optimization (ACO) in order to reduce current consumption and to improve controller performance. The investigation involves an analysis on the convergence behavior of both techniques in search for accurate controller parameters. A comprehensive assessment on the assist current supplied to the assist motor of the system is also presented. Investigation reveals that the proposed controllers, PID-PSO and PID-ACO are able to reduce the assist current supplied to the assist motor as compared to the conventional PID controller. This study also demonstrate the feasibility of applying both swarm-intelligence tuning method in terms of reduced time taken to tune the PID controller as compared to the conventional tuning method. Institute of Electrical and Electronics Engineers Inc. 2018 Article PeerReviewed Hanifah, Rabiatuladawiah Abu and Toha, Siti Fauziah and Ahmad, Salmiah and Hassan, Mohd. Khair (2018) Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles. IEEE Transactions on Industrial Electronics, 65 (9). pp. 7202-7210. ISSN 0278-0046; eISSN: 0278-0046 https://ieeexplore.ieee.org/document/8219702/ 10.1109/TIE.2017.2784344 |
| spellingShingle | Hanifah, Rabiatuladawiah Abu Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd. Khair Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title | Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title_full | Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title_fullStr | Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title_full_unstemmed | Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title_short | Swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| title_sort | swarm-intelligence tuned current reduction for power-assisted steering control in electric vehicles |
| url | http://psasir.upm.edu.my/id/eprint/74035/ http://psasir.upm.edu.my/id/eprint/74035/ http://psasir.upm.edu.my/id/eprint/74035/ |