It is important to get the best response in designing a motor control. This paper proposes MATLAB as a tool in designing motor control system. The Model Predictive Controller (MPC) is used for servo motor control and its important parameters are designed in MATLAB built-in function also known as MPCTOOL. The entire MPC requirement such as control horizon, prediction horizon and weight for input and output of the controller can be calculated by means of MPCTOOL. These values are used in MATLAB m-file for simulation procedure. In this paper, these parameters are set in SIMULINK block of MPC controller to control the servomotor in best stability and performance. And all of the results are shown in MATLAB/SIMULINK scopes. According to these results, the most powerful and useful values are intended to use in physical design.
Model Predictive Controller (MPC), Servo Motor Control, MPCTOOL, SIMULINK
Dr. Thida Aung "Servo Motor Control System Based On Model Predictive Controller (MPC)" Iconic Research And Engineering Journals Volume 3 Issue 2 2019 Page 572-578
Dr. Thida Aung "Servo Motor Control System Based On Model Predictive Controller (MPC)" Iconic Research And Engineering Journals, 3(2)