Otimização Multiobjetivo para Controle Robusto Aplicado a Inversores Conectados à Rede
DOI:
https://doi.org/10.18618/REP.2019.1.0041Keywords:
Algoritmos genéticos, Controle Robusto, Desigualdades Matriciais Lineares, Inversores Conectados à Rede, Otimização multiobjetivoAbstract
Este artigo propõe um novo procedimento de projeto para controladores por realimentação de estados com aplicação prática em inversores conectados à rede, levando a resultados em conformidade com a norma IEEE 1547, inclusive para o caso de implementação utilizando um número reduzido de sensores. O procedimento baseia-se na otimização de objetivos considerando estabilidade, erro de rastreamento e atenuação de distúrbios. Um algoritmo genético é utilizado para buscar, orientado por modelos simples, os ganhos de controle, levando a um conjunto de soluções viáveis (fronteira de Pareto). O ganho de controle escolhido possui estabilidade robusta contra incertezas e variações paramétricas, certificada por meio de análise baseada em desigualdades matriciais lineares. Restrições no espaço de busca permitem encontrar, de forma automática, ganhos por realimentação total ou parcial de estados, superando limitações de desigualdades matriciais de sínteses e levando a resultados experimentais de boa qualidade, o que torna este procedimento uma alternativa útil no projeto de controladores robustos para conversores de potência.
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