Open AccessOptimization of an automatic voltage regulator AVR on a synchronous machine using fuzzy control
Author(s) -
Diego N Cuesta Cuesta,
Fernando Martínez Santa
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2135/1/012004
Subject(s) - computer science , voltage regulator , fuzzy logic , exciter , control theory (sociology) , control engineering , pid controller , voltage , block (permutation group theory) , engineering , control (management) , artificial intelligence , electrical engineering , mathematics , temperature control , geometry
The constantly developing society demands more and more electronic devices and microchips that perform vital tasks such as medical services, emergency lighting, communication systems, among others, however these are sensitive to variations and failures of the power supply, such as voltage fluctuations, voltage spikes and interference, for this reason and because of its great importance for its proper functioning must have a continuous power supply, Thus, the work shown in this article proposes to optimize the operation of automatic voltage correction devices AVR used in synchronous power generating machines whose main function is to ensure that the voltage has been constant, for this a solution is proposed based on the use of non-traditional control techniques such as fuzzy logic, For this purpose initially recognizes the relevant elements that make up the AVR system which are amplifier, exciter, generator and sensor then illustrates the mathematical block model that represents the operation of the system which is reduced to transfer function or otherwise as the relationship of the input and output signal of the system, Then a possible classical PID proportional integral derivative proportional control is suggested with the help of the PID tools of the software Matlab ®, where the fuzzy logic inference set is programmed in three stages: first stage: input of the set of rules for voltage error correction, second stage: input of the set of rules for the voltage field output in the synchronous machine, and in a third stage: programming of the fuzzy inference sentences. Finally, the response of each control is compared and the methodology in the design of the alternative control in the synchronous machine is exposed, with the use of the software Matlab®, all this as a study of new trends in control for educational purposes, in the context of Technology in Electricity and Electronic Technology.