Tracking Performance Of A Hot Air Blower System Using PID Controller With PSO And Harmonic Search Algorithm

Andy, Heng Poh Seng (2015) Tracking Performance Of A Hot Air Blower System Using PID Controller With PSO And Harmonic Search Algorithm. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Tracking Performance Of A Hot Air Blower System Using PID Controller With PSO And Harmonic Search Algorithm.pdf - Submitted Version Download (373kB)

Abstract

PT326 process trainer is a self-contained process and control equipment. The crucial part that can be seen from this system is to control the temperature of a flowing air. In this project, a PT326 process trainer, which is a hot air blower system is used. This project is conducted due to this problem. The scope of work for this research include modeling and controller design of a PT326 process trainer. PID controller is designed with MATLAB software to control the purpose of maintaining the process temperature at a desired value. The simulation result aim to make a comparison of the performances of the process temperature when using Particle Swarm Algorithm and Harmonic Search Algorithm. Simulation results demonstrated that the uses of Particle Swarm Optimization tuning algorithm provides a good performance in term of overshoot, settling time and percent of steady-state error.

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