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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(4): 297-301 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.974

Energy Consumption Optimization with PSO Scheme for Electric Power Steering System

R. A. Hanifah, S. F. Toha, and S. Ahmad
Abstract—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.

Index Terms—Electric power assist steering (EPAS), C-type EPAS, PID, particle swarm optimization (PSO), electric vehicle (EV).

R. A. Hanifah, S. F. Toha, and S. Ahmad are with International Islamic University Malaysia (e-mail: tsfauziah@iium.edu.my).

[PDF]

Cite:R. A. Hanifah, S. F. Toha, and S. Ahmad, "Energy Consumption Optimization with PSO Scheme for Electric Power Steering System," International Journal of Computer Theory and Engineering vol. 7, no. 4, pp. 297-301, 2015.

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