In this paper we describe a technical system for DC motor speed control. The speed of DC motor is controlled using
Neural Network Based Model Reference and Predictive controllers with the use of Matlab/Simulink. The analysis of
the DC motor is done with and without input side Torque disturbance input and the simulation results obtained by
comparing the desired and actual speed of the DC motor using random reference and sinusoidal speed inputs for the
DC motor with Model Reference and Predictive controllers. The DC motor with Model Reference controller shows
almost the actual speed is the same as the desired speed with a good performance than the DC motor with Predictive
controller for the system with and without input side disturbance. Finally the comparative simulation result prove the
effectiveness of the DC motor with Model Reference controller