Effective fractional order PID control design of DC Motors using the walrus optimization algorithm

zThis paper presents an approach utilizing the Walrus Optimization Algorithm (WaOA) to tune the parameters of the fractional-order proportional-integral-derivative (FOPID) controller for regulating the speed of direct current (DC) motors.The optimal controller settings are determined employing a time-based performance metric, serving as a cost function, to attain high performance.The success of the WaOAbased FOPID controller is demonstrated through comprehensive statistical analysis and simulations.The results indicate that the WaOA effectively find the optimal parameters of the FOPID controller.Moreover, the superiority of the WaOA-based FOPID-controlled DC motor system is further supported by a detailed time-domain analysis.The WaOA-FOPID controller exhibits superior performance when compared with controllers utilizing alternative algorithms such as leader-based harris hawks, chaotic artificial hummingbird, improved slime mould, manta ray foraging based on opposition and simulated annealing, reptile search, prairie dog, grey wolf, and atom search.According to the results, WaOA emerges as an efficient method for optimizing FOPID parameters in the context of speed control for DC motor systems.Bu makale, doru akm (DC) motorlarnn hzn dzenlemek iin kesirli mertebeden oransal-integral-trev (FOPID) denetleyicisinin parametrelerini ayarlamak iin