Controle preditivo robusto via desigualdades matriciais lineares aplicado a sistemas dinâmicos com comutação

• Ano de defesa: 2021
• Autor(a) principal: Costa, Francisco Luis de Carvalho
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural do Semi-Árido; Brasil; Centro de Engenharias - CE; UFERSA; Programa de Pós-Graduação em Engenharia Elétrica
• Palavras-chave em Português: Algoritmos Online e Offline; Controle Preditivo Robusto Baseado em Modelo; Desigualdade de Lyapunov; Desigualdades Matriciais Lineares; Sistemas Chaveados; Realimentação de estados; Realimentação de saída; Online and Offline Algorithms; Robust Model Predictive Control; Lyapunov Inequality; Linear Matrix Inequalities; Switched Systems; States Feedback; Output Feedback; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufersa.edu.br/handle/prefix/7336

This work proposes the application of robust model predictive control for discrete linear systems subject to switching under uncertainty and induced norm bounded disturbances. The proposed control was modeled via linear matrix inequalities from Lyapunov inequality and aims to minimize the upper bound of the quadratic performance index to a horizon of infinite prediction. The proposed control strategy can be implemented in the online and offline designs and in the state feedback and output feedback configurations, the latter being associated with a state estimator. To demonstrate the effectiveness of the control strategy, a comparison between the implemented designs is performed through the graphical analysis of the response in time and non-intrusive performance indices. Based on the results, it can be affirmed that the application of the proposed control was successful in both models approached and that the offline design proved to be more promising than the online for these applications