Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle
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 needs to be...
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iium-631402019-01-24T06:12:19Z http://irep.iium.edu.my/63140/ Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle A.Hanifah, Rabiatuladawiah Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd Khair T Technology (General) 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 needs 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, PIDParticle Swarm Optimization and PID-Ant Colony Optimization 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. IEEE 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63140/1/63140_Swarm-Intelligence%20Tuned%20Current%20Reduction%20for%20Power-Assisted.pdf application/pdf en http://irep.iium.edu.my/63140/2/63140_Swarm-Intelligence%20Tuned%20Current%20Reduction%20for%20Power-Assisted_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/63140/13/63140_Swarm-intelligence%20tuned%20current%20reduction_WOS.pdf A.Hanifah, Rabiatuladawiah and Toha, Siti Fauziah and Ahmad, Salmiah and Hassan, Mohd Khair (2017) Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle. IEEE Transactions on Industrial Electronics, PP (99). pp. 1-9. ISSN 0278-0046 E-ISSN 1557-9948 http://ieeexplore.ieee.org/document/8219702/ 10.1109/TIE.2017.2784344 |
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T Technology (General) A.Hanifah, Rabiatuladawiah Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd Khair Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
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 needs 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, PIDParticle
Swarm Optimization and PID-Ant Colony
Optimization 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. |
format |
Article |
author |
A.Hanifah, Rabiatuladawiah Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd Khair |
author_facet |
A.Hanifah, Rabiatuladawiah Toha, Siti Fauziah Ahmad, Salmiah Hassan, Mohd Khair |
author_sort |
A.Hanifah, Rabiatuladawiah |
title |
Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
title_short |
Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
title_full |
Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
title_fullStr |
Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
title_full_unstemmed |
Swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
title_sort |
swarm-intelligence tuned current reduction for power assisted steering control in electric vehicle |
publisher |
IEEE |
publishDate |
2017 |
url |
http://irep.iium.edu.my/63140/ http://irep.iium.edu.my/63140/ http://irep.iium.edu.my/63140/ http://irep.iium.edu.my/63140/1/63140_Swarm-Intelligence%20Tuned%20Current%20Reduction%20for%20Power-Assisted.pdf http://irep.iium.edu.my/63140/2/63140_Swarm-Intelligence%20Tuned%20Current%20Reduction%20for%20Power-Assisted_SCOPUS.pdf http://irep.iium.edu.my/63140/13/63140_Swarm-intelligence%20tuned%20current%20reduction_WOS.pdf |
first_indexed |
2023-09-18T21:29:35Z |
last_indexed |
2023-09-18T21:29:35Z |
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1777412421455970304 |