Modeling and development of predictive controller for temperature control of hot air blower system

Nazri, Nur Aisyah Nazihah (2022) Modeling and development of predictive controller for temperature control of hot air blower system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A hot air blower (HAB) system is a process of heating air flowing to a certain temperature level. The crucial part of this system is to control the temperature of flowing air to the desired temperature level. The main problem encountered when using this system is the temperature of airflow inside the blower is very challenging to be controlled, which may cause overheating of the system [1]. This study is proposed for this reason. The scope of this study consists of modeling and controller HAB system. PT326 process trainer is a HAB system employed in this study. System identification technique was used to determine the mathematical model of the system. In this study, the ARX341 was selected as a plant model. Meanwhile, a predictive controller is proposed as a new strategy to control the temperature of airflow. MATLAB Simulink was used for both modeling and controlling processes. In order to evaluate the effectiveness of the proposed controller, the performance of the proposed predictive controller was compared with the Proportional-Integral-Derivative (PID) controller in terms of transient response. Simulation results based on MATLAB Simulink revealed that the proposed predictive controller effectively provides fast, accurate, and stable performances in controlling the temperature of the HAB system compared to other strategies.

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