Model Predictive Control (MPC) System for Motors Mohammad Amin Gholampour Saadi

The growing need of industry for higher productivity is placing new demands on mechanisms connected with electrical motors. This is leading to different problems in work operation due to fast dynamics and instability. The stability of the system is essential to work at desired set targets.The nonlinear effects caused by a motor frequently reduce stability which reduces the controller’s ability to maintain speed or position at set points. Hence number of the industrial process applications requires position control of DC motor. DC motors have traditionally been modelled as second order linear systems, which ignores the dead nonlinear zone of the motor. The paper gives insight into Model Predictive Control and run MATLAB simulations to show some of the theory for linear systems using a generalized system. The importance of MPC, components of MPC is mentioned and some of its practical applications on DC Motor are presented. This paper gives basics of MPC, use of MPC TOOLBOX for DC Motor modelling and Control.In this thesis, I intend to have a general look at MPC at first, and then we will examine servo motors and MPC controller design with coding method and MPC tool. Finally, by using the article "MODEL PREDICTIVE CONTROLLERS FOR A NETWORKED DC SERVO SYSTEM", we discuss the advantages and benefits of using MPC and by using it, we want to check the delays in the closed loop control systems of the dc motor. And I will compare my results with the results of this article.

کلیدواژه ها:

DC Servo Motor ، MPC system ، DC Motor