Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-145-37
DOI: https://dx.doi.org/10.15863/TAS.2025.05.145.37
Language: English
Citation: Aptukov, M.I., & Kozhevnikov, V.A. (2025). Analysis of the application of optimization algorithms for temperature regime configuration of vegman servers. ISJ Theoretical & Applied Science, 05 (145), 301-312. Soi: https://s-o-i.org/1.1/TAS-05-145-37 Doi: https://dx.doi.org/10.15863/TAS.2025.05.145.37 |
Pages: 301-312
Published: 30.05.2025
Abstract: The article is devoted to optimization algorithms for selecting the coefficients of the PID controller of system fans. Based on programs developed in python, the effectiveness of using various algorithms to adjust the temperature regime of servers is considered. To achieve this aim, the following tasks were addressed: – meta-heuristic optimization algorithms were studied, including particle-swarm optimization, ant-colony optimization, Bayesian optimization, and the genetic algorithm; – a Python program implementing these algorithms was developed; – a comparative analysis of the algorithms was carried out, and the one most effective by the combined criteria was selected (lowest post-tuning oscillation amplitude, shortest tuning time, fastest convergence to the target temperature, minimal fan speed). As a result, an optimal algorithm was selected that can effectively find PID controller coefficients that ensure a stable processor temperature at the minimum required fan speed.
Key words: VEGMAN servers, meta-heuristic optimization algorithms, PID-coefficients, experiment, metrics, frameworks.
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