Dc Motor Control System Using Model Predictive Controller

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract DC motors have been widely used in the electromechanical systems due to its simple structure, ease of implementing variable speed control and low cost. DC motors have traditionally been modeled as second order linear system, which ignores the dead nonlinear zone of the motor. In this paper, the analysis and design of linearized control systems such as DC Motor is taken into consideration by applying Model Predictive Control strategies to diagnose the issues related to run time failures. They can be improved by adjusting the tuning weights and varying the constraints of the various parameters taken into consideration. Also, the stability and the system performance of the close loop networked control system are analyzed.