Legendre Orthonormal Functions Based Model Predictive Control of DC Motor

The paper presents modelling and control of very common actuator, DC motor. The control of the DC motor was implemented with the Model predictive control (MPC) controller based on Legendre orthonormal functions. As PID (Proportional-Integral-Derivative) controller is simple and effective controller, mainly used in industrial applications, above mentioned MPC controller’s performance was compared to the PID controller performance. A criterion used is the fastest response with the maximum of 2% overshoots with step input and step disturbance treated.