—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.
—Electric power assist steering (EPAS), C-type
EPAS, PID, particle swarm optimization (PSO), electric vehicle
R. A. Hanifah, S. F. Toha, and S. Ahmad are with International Islamic
University Malaysia (e-mail: firstname.lastname@example.org).
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.