PID control parameter tuning using swarm-based metaheuristic algorithm for coupled tank system application

Ruslan, Nur Athirah (2024) PID control parameter tuning using swarm-based metaheuristic algorithm for coupled tank system application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Coupled Tank Systems (CTS) are an important technology and are widely used across several sectors. Liquid-level management is important and often problematic in the processing sector for these coupled tank systems. Consequently, in a coupled tank system, the controller becomes the main pillar for controlling the liquid level. Traditional proportional-integral derivative (PID) controllers are widely used due to their simplicity and effectiveness. However, tuning PID parameters for optimal performance remains a challenge, especially for complex or nonlinear systems. Therefore, optimization techniques will be used as the tuning to find the controller parameter. This study investigates the use of swarm-based metaheuristic algorithms, specifically the tunicate swarm algorithm (TSA) and reptile search algorithm (RSA), to obtain the PID controller parameter for CTS applications. The objectives include designing a PID control system using these algorithms, evaluating controller performance, and comparing it with the particle swarm optimization (PSO) method. The entire implementation, such as designing, simulation, and analysis, is performed on the MATLAB R2023b platforms. The transient system performance (overshoot, settling time, peak time, rise time, and steady state error) will be evaluated and compared among these algorithms. A performance index, namely the Integral Time Square Error (ITSE), is used in this study as comparator to compare the performance of different types of PID tuning.

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