Energy consumption optimization with PSO scheme for electric power steering system
Energy management in Electric Vehicle (EV) technology is very important as the energy source of all its system operations are solely relying on the battery. The unique characteristic of Electric Power Assist Steering (EPAS) system provides a way in realizing minimum energy consumption in EV...
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International Association of Computer Science and Information Technology Press (IACSIT Press)
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iium-386852014-12-25T10:09:54Z http://irep.iium.edu.my/38685/ Energy consumption optimization with PSO scheme for electric power steering system Hanifah, Rabiatul A. Toha, Siti Fauziah Ahmad, Salmiah TL1 Motor vehicles Energy management in Electric Vehicle (EV) technology is very important as the energy source of all its system operations are solely relying on the battery. The unique characteristic of Electric Power Assist Steering (EPAS) system provides a way in realizing minimum energy consumption in EV subsystem. The controller in the EPAS system need to be tuned with the optimal performance setting so that less current is needed for its optimum operation. In this paper, Particle Swarm Optimization (PSO) 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 EV by minimizing the assist current supplied to the assist motor. The PSO searching method will search for the best gain parameters of the PID controller and providing the fast tuning feature that distinguish it from the conventional trial and error method. Simulation results shows the performance and effectiveness of using PSO algorithm for PID tuning. International Association of Computer Science and Information Technology Press (IACSIT Press) 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38685/3/energy_consumption_optimization.pdf Hanifah, Rabiatul A. and Toha, Siti Fauziah and Ahmad, Salmiah (2014) Energy consumption optimization with PSO scheme for electric power steering system. International Journal of Computer Theory and Engineering, 7 (4). pp. 297-301. ISSN 1793-8201 http://www.ijcte.org/list-64-1.html |
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TL1 Motor vehicles Hanifah, Rabiatul A. Toha, Siti Fauziah Ahmad, Salmiah Energy consumption optimization with PSO scheme for electric power steering system |
description |
Energy management in Electric Vehicle (EV)
technology is very important as the energy source of all its
system operations are solely relying on the battery. The unique
characteristic of Electric Power Assist Steering (EPAS) system
provides a way in realizing minimum energy consumption in
EV subsystem. The controller in the EPAS system need to be
tuned with the optimal performance setting so that less current
is needed for its optimum operation. In this paper, Particle
Swarm Optimization (PSO) 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 EV by
minimizing the assist current supplied to the assist motor. The
PSO searching method will search for the best gain parameters
of the PID controller and providing the fast tuning feature that
distinguish it from the conventional trial and error method.
Simulation results shows the performance and effectiveness of
using PSO algorithm for PID tuning.
|
format |
Article |
author |
Hanifah, Rabiatul A. Toha, Siti Fauziah Ahmad, Salmiah |
author_facet |
Hanifah, Rabiatul A. Toha, Siti Fauziah Ahmad, Salmiah |
author_sort |
Hanifah, Rabiatul A. |
title |
Energy consumption optimization with PSO scheme for electric power steering system |
title_short |
Energy consumption optimization with PSO scheme for electric power steering system |
title_full |
Energy consumption optimization with PSO scheme for electric power steering system |
title_fullStr |
Energy consumption optimization with PSO scheme for electric power steering system |
title_full_unstemmed |
Energy consumption optimization with PSO scheme for electric power steering system |
title_sort |
energy consumption optimization with pso scheme for electric power steering system |
publisher |
International Association of Computer Science and Information Technology Press (IACSIT Press) |
publishDate |
2014 |
url |
http://irep.iium.edu.my/38685/ http://irep.iium.edu.my/38685/ http://irep.iium.edu.my/38685/3/energy_consumption_optimization.pdf |
first_indexed |
2023-09-18T20:55:36Z |
last_indexed |
2023-09-18T20:55:36Z |
_version_ |
1777410282522411008 |