A fuzzy-based Predictive PID for DC motor speed control

This paper presents a new control method for DC speed control. The proposed controller is composed of a fuzzy-based proportional-integral-derivative (PID) controller and a receding horizon controller (RHC), forming a fuzzy-based predictive PID controller in a single-loop strategy. In order to evaluate and compare the new proposed control strategy with other typical controllers, a dynamic simulation environment was created. The union of both controllers enhances the DC motor controller, reducing the time to reach a steady state. The results indicate the superiority of the proposed controller in comparison to the PID controller, fuzzy-based PID controller, and RHC. The fuzzy-based predictive PID controller obtained a mean absolute error (MAE) equal to 0.0750, a mean squared error (MSE) equal to 0.2042, and a root mean squared error (RMSE) equal to 0.4519. In comparison to the PID controller, the proposed controller reduces 11.84%, 34.95%, and 19.32% of MAE, MSE, and RMSE, respectively. When compared to fuzzy-based PID controller and RHC, its improvement is even more significant. In comparison to fuzzy-based PID controller, there is a reduction of 51.68%, 36.67%, and 19.32% of MAE, MSE, and RMSE, respectively, and in comparison to RHC, it reduces 49.60%, 66.01%, and 41.69% of MAE, MSE, and RMSE, respectively.