METHODS FOR CONTROLLING THE EXCITATION OF SYNCHRONOUS MOTORS OF PUMPING STATIONS USING AUTOMATIC REGULATORS BASED ON NEURAL NETWORKS

The expression for the transfer function of proportional control is (1) where U – exit; ΔU1 – entrance; Kp - proportional control coefficient; Uref - proportional control coefficient; Ut(t) - averaging of effective values of voltage at the generator terminals in real time [3,4].

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15435630
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

METHODS FOR CONTROLLING THE EXCITATION OF SYNCHRONOUS MOTORS OF PUMPING STATIONS USING AUTOMATIC REGULATORS BASED ON NEURAL NETWORKS

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Control Systems and Analysis
article

METHODS FOR CONTROLLING THE EXCITATION OF SYNCHRONOUS MOTORS OF PUMPING STATIONS USING AUTOMATIC REGULATORS BASED ON NEURAL NETWORKS

article en

Abstract

The expression for the transfer function of proportional control is (1) where U – exit; ΔU1 – entrance; Kp - proportional control coefficient; Uref - proportional control coefficient; Ut(t) - averaging of effective values of voltage at the generator terminals in real time [3,4].

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 77%
Mathematical Control Systems and Analysis
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METHODS FOR CONTROLLING THE EXCITATION OF SYNCHRONOUS MOTORS OF PUMPING STATIONS USING AUTOMATIC REGULATORS BASED ON NEURAL NETWORKS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS