CHAPTER 1
CHAPTER 1. INTRODUCTION
1.1 PROBLEM STATEMENT
Most of industry still using the conventional controller and the problem with conventional controller is low performance and stability. In order to overcome this
problem is by using Model Predictive Controller MPC. It is to show that advance controller is better than conventional controller. So, this project is proposed to obtain the
best model so that the dynamic behaviour of plant can be identified and MPC controller can be designed. Experiment with system identification method and SIMULINK diagram
will be used to solve this issue.
1.2 OBJECTIVES For this project there are three main objectives that need to be achieved:
1. To obtain the best model of transfer function for modeling MPC controller. 2. To design MPC controller for temperature control with the selected tuning
parameters. 3. To study the performance and comparison with conventional controllers.
1.3 PROJECT SCOPE
The scope of work for this project includes modelling MPC controller using
MATLAB System Identification Toolbox. Then, identify the behaviour of plant by applying process model of System Identification Toolbox. Furthermore, design a Single
Input Single Output SISO MPC by using SIMULINK with basic tuning parameters
adjustment. Then, performance analysis based on comparison of transient response which is rise time, percent overshoot, settling time, standard deviation and accuracy. These values
are evaluated to determine the performance, robustness and accuracy. Finally, the performance of MPC was compared with PID controller via Step Response reaction curves
and Set Point Changes reaction. To show the controller had the stability, the robustness test such as Disturbance Rejection, Set Point Tracking and White Noise Disturbances were
done.
CHAPTER 2
CHAPTER 2. LITERATURE REVIEW AND THEORY