Control Of Temperature Process Using PID Controller Tuned Using Optimization Technique

Tan, Geok Seong (2016) Control Of Temperature Process Using PID Controller Tuned Using Optimization Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Temperature process control system is widely used in every sector of industrial process. Proportional Integral Derivative controller (PID) is used to tune the parameter of the temperature process. The system performance using conventional method of trial and error in tuning the control parameter is not efficient and time consuming. PID controller as a conventional controller still being used in industrial and it has weakness in performance. The objective of this project is to analyze the system performance between Cuckoo Search and Particle Swarm Optimization technique with applying PID controller. The parameters of the PID controller that have been tuned from the both optimization techniques of ITSE is used as the performance index or criteria of comparison for optimization technique between Cuckoo Search (CS) and Particle Swarm Optimization (PSO) will be applied to temperature process control system of stirred heated liquid tank. The comparison between both optimization techniques performance will be made and observed such as settling time (Ts), rise time (Tr), overshoot percentage (OS), standard deviation and disturbance rejection. This project is only involving simulation at MATLAB and Simulink. From the results of comparison between Cuckoo Search and Particle Swarm Optimization, it showed Cuckoo Search has the better performance in overall terms of rise time, settling time, standard deviation and also disturbance rejection.

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