Optimal Control of DC Motor Using Multiverse Optimization Algorithm

Regulating the PID controller’s parameters is a significant challenge in DC motor control operation. Multiverse Optimization Algorithm (MVO), a new metaheuristic algorithm, is used to overcome this challenge and is designed for driving a DC motor to find the best possible solution globally in the search space. The suggested controller can be used to adjust the PID controller’s parameters to their optimum value. The outcomes of the simulation demonstrate that the suggested controller is capable of efficiently looking for the best PID controller. According to the simulation results, the development of the speed loop response stability has improved, the steady state error has decreased, the rising time has been perfected, and disturbances have no effect on the driving motor’s performance with no overtaking. .