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Application of binary firefly algorithm (BFA) in tuning PID parameters for couple tank system


Article Information

Title: Application of binary firefly algorithm (BFA) in tuning PID parameters for couple tank system

Authors: Arman Hadi Azahar, Adam Samsudin, Yep Kow Wai, Amar Faiz Zainal Abidin, Rozi Rifin, Mohammad Haniff Harun, Mohd. Safirin Karis, Ezzatul Farhain Azmi

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2021

Volume: 16

Issue: 7

Language: English

Categories

Abstract

This paper presents the application of the Binary Firefly Algorithm (BFA) in tuning PID parameters for a coupled tank system. The agent position in the BFA represents the potential combination the PID parameters. This agent position is modeled using a string of 32 binary bits where the every eight bits represents the value of and respectively. represents the values of PID parameters. The first five bits represents the decimal value while the remaining are fraction value. The model of the coupled tank system is taken from well-established literature. The proposed approach is then implemented on the model that used a PID controller as the control mechanism. This study proposed a priority based fitness formulation where the agent will give priority to the following parameters in the given order: 1) Sum of Absolute Error (SAE); 2) Overshoot (OS); 3) Settling Time (ST), and Steady-State Error (SSE). The result discussed the effect of number of agent and number of iteration towards the performance of the proposed approach.


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