Optimal PID Controller Design for Liquid Level Tank via Modified Artificial Hummingbird Algorithm

Year 2023, , 37 - 43, 18.10.2023

Erdal Eker , Serdar Ekinci , Davut İzci

https://doi.org/10.53070/bbd.1346269

Cited By: 3

Abstract

To enhance controller performance, the optimization of control parameters has emerged as a critical research area. Among the array of optimization algorithms, the modified elite opposition-based artificial hummingbird algorithm (m-AHA) stands out for its ability to emulate behavioral strategies of hummingbirds and elite opposition-based technique. This paper, therefore, proposes m-AHA optimizer as a novel approach to optimize control parameters in a three-tanks liquid level system. By fine-tuning the parameters of proportional-integral-derivative (PID) controller, superior performance is achieved. Comparative evaluations with competitive algorithms, including the arithmetic optimization algorithm with Harris hawks optimization and covariance matrix adaptation evolution strategy, assess the m-AHA optimizer-based approach for three-tank liquid level system control. The ITAE (integral of time multiplied absolute error) performance index analyzes time domain and frequency metrics, revealing the outstanding performance of the m-AHA optimizer-based approach.

Keywords

Artificial hummingbird algorithm, Liquid level system, Controller design, Optimization

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