Akademik Veri Yönetim Sistemi
Türk Doğa ve Fen Dergisi, cilt.14, sa.4, ss.209-221, 2025 (Hakemli Dergi)
In this study, the parameters of a Fractional Order PID (FOPID) controller used for the speed
control of an electric vehicle (EV) were optimized using five different heuristic optimization
algorithms: Genetic Algorithm (GA), Grey Wolf Optimization (GWO), Harris Hawks
Optimization (HHO), Particle Swarm Optimization (PSO), and Salp Swarm Algorithm (SSA).
The control system was modeled in the MATLAB/Simulink environment, and the speed
control performance was tested in a closed-loop configuration. In the optimization process,
performance criteria such as percentage overshoot (%OS), settling time (𝑡𝑠), rise time (𝑡𝑟),
and mean squared error (MSE) were used. The results obtained with each algorithm were
evaluated comparatively in terms of the specified performance criteria. The results revealed
that the performance of different algorithms in FOPID parameter optimization varies
depending on the application and performance criteria. The findings provide an important
reference for the selection of appropriate algorithms to enhance speed control performance in
electric vehicles.