PID control tuning using cuckoo search algorithm for coupled tank liquid level system

Ain Nadzirah , Azman (2014) PID control tuning using cuckoo search algorithm for coupled tank liquid level system. Project Report. UTeM. (Submitted)

Text PID CONTROL TUNING USING CUCKOO SEARCH ALGORITHM FOR COUPLED TANK LIQUID LEVEL SYSTEM 24pages.pdf Download (1MB)

Abstract

This project describes a liquid level control for a Coupled Tank System (CTS). Coupled tank is common equipment that is used in the industry. In this particular system, the liquid will be pumped into the tank, stored and having a process for example a chemical process. The liquid will be then transferred to another tank depending on the requirement of the system. A controller need to be added in the liquid level system in order to maintain the level of the liquid as desired. As the time pass by, the parameter of the system will slightly change due to the condition of the system for example disturbance. Thus, the existing controller parameter will no longer valid. Therefore, optimization technique will be used as the tuning to find the controller parameter, which will lead the system to give optimal performance. In this study, the Proportional-Iintegral- Derivative (PID) control tuning using Cuckoo Search (CS) is designed by using MATLAB and Simulink. The transient system performance (overshoot, settling time, rise time and steady state error) will be evaluated and compared with Particle Swarm Optimization (PSO). Performance index, Integral of Time Square Error (ITSE) will be used in this study as the comparator for both PSO and CS. The performance index also will be as reference that indicates the performance of the CTS. Based on this study, the result shows that tuning with CS algorithm outperforms the tuning using PSO algorithm in term of both fitness and transient response.

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