Case studies on the applications of the artificial bee colony algorithm

Devadason, Joshua Rajah; Hepsiba, Preethi Sheba; Solomon, Darius Gnanaraj

doi:10.1007/s12046-024-02498-9

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2024

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Cited by 3 publications

References 15 publications

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Improved Artificial Bee Colony Algorithm Embedded with Differential Evolution Operator

Song,

Zhang,

Zhao

2024

2024 9th International Conference on Electronic Technology and Information Science (ICETIS)

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Improved Artificial Bee Colony Algorithm Embedded with Differential Evolution Operator

Song,

Zhang,

Zhao

2024

2024 9th International Conference on Electronic Technology and Information Science (ICETIS)

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Smart Farm Picking and Distribution Integration : Discrete Artificial Bee Colony Algorithm

Pan,

Miao

2024

2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)

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Tuning of PID Controller in PLC-Based Automatic Voltage Regulator System Using Adaptive Artificial Bee Colony–Fuzzy Logic Algorithm

Altınkaya,

Ekmekci

2024

Electronics

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The voltage control of synchronous generators, particularly under varying load conditions, remains a significant and complex challenge in the field of engineering. Although various control methods have been implemented for automatic voltage regulator (AVR) systems to control the terminal voltage of synchronous generators, the PID-based control method continues to be one of the most basic and widely used approaches. Determining the optimal values for the Kp, Ki, and Kd values is essential to ensuring efficient and rapid performance in a PID controller. This study presents PLC-based PID controller tuning using an adaptive artificial bee colony–fuzzy logic (aABC-FL) approach for voltage control in a micro-hydro power plant installed as an experimental setup. The real-time control and monitoring of the system was conducted using an S7-1200 programmable logic controller (PLC) integrated with a totally integrated automation (TIA) portal interface and a SCADA screen. The aABC-Fuzzy design was developed using the MATLAB/Simulink platform, with PLC-MATLAB communication established through OPC UA and the KEPServerEX interface. The results obtained from experiments conducted under different load conditions showed that the proposed aABC-FL PID significantly minimized settling time and overshoot compared to the classical PLC-PID. Additionally, the proposed method not only provided a good dynamic response but also proved to be robust and reliable for real physical AVR systems.

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Case studies on the applications of the artificial bee colony algorithm

Cited by 3 publications

References 15 publications

Improved Artificial Bee Colony Algorithm Embedded with Differential Evolution Operator

Improved Artificial Bee Colony Algorithm Embedded with Differential Evolution Operator

Smart Farm Picking and Distribution Integration : Discrete Artificial Bee Colony Algorithm

Tuning of PID Controller in PLC-Based Automatic Voltage Regulator System Using Adaptive Artificial Bee Colony–Fuzzy Logic Algorithm

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