Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Fuzzy Artificial Intelligence Based Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems

Daniel C. C. Crisóstomo
† ,
Thiago F. Do Nascimento
† ORCID logo ,
Evandro A. F. Nunes
† ORCID logo ,
Elmer Villarreal
*,† ORCID logo ,
Ricardo Pinheiro
† ORCID logo ,
Andrés Salazar
† ORCID logo
†
These authors contributed equally to this work.
Version 1 : Received: 17 June 2022 / Approved: 21 June 2022 / Online: 21 June 2022 (03:39:16 CEST)

A peer-reviewed article of this Preprint also exists.

Crisóstomo, D.C.C.; do Nascimento, T.F.; Nunes, E.A.D.F.; Villarreal, E.; Pinheiro, R.; Salazar, A. Fuzzy Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems. Energies 2022, 15, 7011. Crisóstomo, D.C.C.; do Nascimento, T.F.; Nunes, E.A.D.F.; Villarreal, E.; Pinheiro, R.; Salazar, A. Fuzzy Control Strategy Applied to an Electromagnetic Frequency Regulator in Wind Generation Systems. Energies 2022, 15, 7011.

Abstract

This paper presents the implementation of a control strategy based on fuzzy logic artificial intelligence (AI) for speed regulation of an electromagnetic frequency regulator (EFR) prototype, aiming to eliminate the dependence on knowledge of physical parameters in the most diverse operating conditions. Speed multiplication is one of the most important steps in power generation wind. Gearboxes are generally used for this purpose. However, they have a reduced lifespan and a high failure rate and are still noise sources. The search for new ways to match the speed (and torque) between the turbine and the generator is an important research area to increase the energy, financial and environmental efficiency of wind systems. The EFR device is an example of an alternative technology that this team of researchers has proposed. It counts the fact of taking advantage of the main advantages of an induction machine with the rotor in a squirrel cage positively. In the first studies, the EFR control strategy consisted of the conventional PID controllers, which has several limitations widely discussed in the literature. This strategy also limits the EFR's performance, considering its entire operating range. The simulation program was developed using the Matlab/Simulink platform, while the experimental results were obtained in the laboratory emulating the EFR-based system. The EFR prototype used has 2 poles, a nominal power of 2.2 kW, and a nominal frequency of 60 Hz. Experimental results were presented to validate the efficiency of the proposed control strategy.

Keywords

Speed control; Fuzzy Controller; Electromagnetic Frequency Regulator (EFR); Wind Energy; Photovoltaics

Subject

Engineering, Control and Systems Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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