Ekici, Yunus EmreAkdag, OzanAydin, Ahmet ArifKaradag, Teoman2024-08-042024-08-0420242619-9831https://doi.org/10.5152/electrica.2024.23141https://hdl.handle.net/11616/102063The two different motion behaviors of seahorses in nature served as inspiration for the seahorse optimization (SHO) method, which is a new metaheuristic swarm intelligence-based approach to solving fundamental engineering problems. In this study, the propo rtion al-in tegra l-der ivati ve (PID) parameters for the simplified speed control of the manipulator joint using squirrel-cage induction motors were calculated with the SHO algorithm. As a result of these calculations, Kp, Ki, and Kd values were obtained as 0.0430, 0.00474, and 0.03254, respectively. Then, the time for the squirrel-cage motor to reach 50 rpm (revolutions per minute) and 90 rpm was calculated with the help of SHO. In PID + SHO operation, the squirrel-cage electric motor reached 50 rpm in 3 seconds and 90 rpm in 8 seconds. In this study, in which the SHO optimization method was used, it was calculated that the acceleration of the squirrel-cage motor and reaching the desired value gave 50% better results compared to the particle swarm optimization algorithm.eninfo:eu-repo/semantics/closedAccessOptimizationproportional-integral-derivative (PID)particle swarm optimization (PSO)seahorsesquirrel cage motorsArticle10.5152/electrica.2024.231412-s2.0-85196263153Q3WOS:001188245800001N/A