Contribuições para a estratégia de controle aplicadas ao Regulador Eletromagnético de Frequência (REF)

• Ano de defesa: 2021
• Autor(a) principal: Nunes, Evandro Ailson de Freitas
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte; Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO
• Palavras-chave em Português: Controle de velocidade; Controlador Fuzzy; Regulador Eletromagnético de Frequência; Energia eólica; Multiplicação de velocidade
• Link de acesso: https://repositorio.ufrn.br/handle/123456789/32751

Speed multiplication is one of the most important stages 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 (EFR) 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 EFR consists of the conventional PID strategy, which has several limitations widely discussed in the literature. This strategy also limits EFR performance at different points of operation. In this work, an elementary model is proposed and a control strategy based on artificial intelligence (AI) of fuzzy logic will be adopted for EFR speed regulation, with the aim of eliminate the dependence of the control system in relation to the physical parameters of the prototype. Experimental results will be presented for efficiency validation of the proposed control strategy.