Dynamic Modeling For a First Order Mixing Process Using Simulink in Matlab

• Main Author: Zainal, Mohd Redza Harriz
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2004
• Subjects: TP Chemical technology
• Online Access: http://utpedia.utp.edu.my/7150/1/2004%20-%20Dynamic%20Modeling%20For%20a%20First%20Order%20Mixing%20Process%20Using%20Simulink%20in%20Matlab.pdf; http://utpedia.utp.edu.my/7150/

This assessment reports the research made on the dynamic modeling for a first order system of a mixing process using Simulink in Matlab. The research project consists of two main tasks. The tasks are to develop a mathematical model of the process and also to find and use an appropriate controller tuning design based on the transient response criteria. The research project conducted is meant to achieve three objectives. The objectives are:- 1. to develop the mathematical model that describes the mixing process 2. to study the response of the mixing process in manual mode 3. to study the step response of the process in automatic mode Currently, there was not much information regarding the response's characteristic of the outlet concentration of a mixing process. Thus, the problem statement of this research project is to investigate how the characterization of response for the outlet concentration of the mixing process. For this study, the scope would be only to study the response characteristic of several step responses in manual and automatic mode. This would be done by doing some adjustment in setting up the valve opening or input flow before the responses is investigated or study. At this point, there is not much information regarding the mathematical model of a first order reaction system of a mixing process. Through findings for this kind of a process, there are a few parameters that should be taken into consideration which affects the characterization response. Currently, the simulation of this study has been completed. The next step would be to investigate the characterization responses of the model. This will be done by adjusting the input flow, valve opening and height or level of the mixing in the tank.