Banca de DEFESA: EVANDRO AILSON DE FREITAS NUNES

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : EVANDRO AILSON DE FREITAS NUNES
DATE: 08/04/2021
TIME: 14:00
LOCAL: sala do Meet
TITLE:

Contributions to Speed Control Strategy Applied to Speed Multiplication of Frequency Electromagnetic Regulator.

KEY WORDS:

Speed Control, Fuzzy Controller, Frequency Electromagnetic Regulator, Wind Power System, Speed Multiplication.

PAGES: 86
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
SPECIALTY: Máquinas Elétricas e Dispositivos de Potência
SUMMARY:

Currently, incentives for clean energy generation have been increasing considerably due to the limitation of fossil fuels, until then used in abundance. Among these alternative sources, wind energy has been receiving special attention from the energy sector and scientific community and, in Brazil, which in 2017 took the 8th position in the world ranking of countries with the largest installed capacity in wind farms, the participation of this natural resource in the energy matrix shows an exponential growth.
Speed multiplication is one of the most important steps in wind power generation systems and it is traditionally performed by means of mechanical gearboxes. However, due to its reduced service life, high failure ratio and because it is considered an intermittent noise source, the search for new speed multiplication devices for gearboxes replacement has become an important research topic to increase the efficiency of wind power systems. Electromagnetic Frequency Regulator (REF) is an example of an alternative application that allows a high speed gain while making use of the main advantages of a squirrel cage rotor induction machine. The current control system of the REF consists of the conventional PID strategy, which has several limitations widely discussed in the literature. This strategy also limits REF performance at different points of operation. In this work, a control strategy based on artificial intelligence (AI) of fuzzy logic will be adopted for REF speed regulation, with the aim of eliminate the dependence of the control system in relation to the physical parameters of the prototype. Simulation and experimental results will be presented for the validation of the efficiency of the proposed control strategy.

BANKING MEMBERS:
Presidente - 1149567 - ANDRES ORTIZ SALAZAR
Interno - 1451883 - FABIO MENEGHETTI UGULINO DE ARAUJO
Externo ao Programa - 347427 - RICARDO FERREIRA PINHEIRO
Externo à Instituição - DARLAN ALEXANDRIA FERNANDES - UFPB
Externo à Instituição - PAULO VITOR SILVA - IFRN