Implementação de controladores robustos projetados via LMIs e sintonizados por algoritmo genético

This work presents the study and an implementation of robust state feedback controllers in a servomechanism. The controller design is supported by LMIs (Linear Matrix Inequalities), based on the Lyapunov Stability Theory and on pole shift techniques such as a Decay Rate, Relative Stability, D–Stabil...

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Autor principal: Ancelmo, Hellen Cristina
Formato: Trabalho de Conclusão de Curso (Graduação)
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná 2020
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Acesso em linha: http://repositorio.utfpr.edu.br/jspui/handle/1/7153
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Resumo: This work presents the study and an implementation of robust state feedback controllers in a servomechanism. The controller design is supported by LMIs (Linear Matrix Inequalities), based on the Lyapunov Stability Theory and on pole shift techniques such as a Decay Rate, Relative Stability, D–Stability and Stability LP–g. The pre-defined paramaters in the projects via LMIs are defined from the application of a genetic algorithm, which optimizes the values of such points with the objective of improving the controller’s performance. Due to a practical application of the controllers, it was necessary to include a new set of LMIs to the controller designs. The goal is to optimize a controller norm making its implementation viable. The implemented initial tests presented high gains that made implementation difficult. Finally, control techniques implemented are compared.