Adaptive pid regulation method of uninterruptible power supply battery charge current based on artificial neural network

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Published: 04-10-2022
DOI: https://doi.org/10.33108/visnyk_tntu2022.03.005
Keywords:
control system, PID control, uninterruptible power supply, rechargeable battery, artificial neural network

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Andriy Palamar
Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine
Mariia Stadnyk
Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine
Mariia Palamar
Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine

Abstract

The paper considers the issue of improving the methods of uninterruptible power supply intelligent control based on adaptive algorithms with the use of artificial neural network technologies. An adaptive PID regulation method of the UPS battery charge current is proposed. A neural network based control scheme with adjustment of PID regulation coefficients has been developed. The simulation modeling was used to search for the artificial neural network topology, which would be the most effective according to the criteria of the battery charge current regulation accuracy. The use of artificial neural networks in the uninterruptible power supply control system made it possible to obtain more effective results for maintaining a stable battery charge current in the transient processes when the battery parameters are changed and in the stochastic load changes conditions.

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Vol. 107 No. 3 (2022)

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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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