نبذة مختصرة : The use of Unmanned Aerial Vehicles (UAVs), may be subject to external disturbances, such as wind gusts, aerodynamic forces, and parametric uncertainties, depending on the location where it is to be used. Therefore, the automatic control must be robust enough to perform a pre-established task. In this work, we propose a robust control strategy based on the dynamic model to mitigate external disturbances and parametric uncertainties. The H Infinity criterion has been used for other types of robots and will be applied to quadrotor aircraft in this work. In addition to this robust character of the adopted control criterion, this work uses Gaussian processes to complement the mathematical model of the quadrotor, estimating the uncertainties not modeled by the nominal model. This combination is backed up by ensuring the stability of the resulting robust control system. An analysis of the trajectory tracking of all controllers is made, considering different levels of parametric uncertainty and external disturbances. Along with the development of the controllers, a complete study is made about the implementation of control algorithms on a real quadrotor, proposing a localization system based on the odometry of the aircraft and on a visual SLAM algorithm, using the camera present in it. ; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) ; A utilização de Veículos Aéreos Não Tripulados (UAVs), pode estar sujeita a perturbações externas, como rajadas de vento, forças aerodinâmicas e incertezas paramétricas, dependendo do local onde será utilizado. Portanto, o controle automático deve ser robusto o suficiente para realizar uma tarefa pré-estabelecida. Neste trabalho, propomos uma estratégia de controle robusta baseada no modelo dinâmico para mitigar distúrbios externos e incertezas paramétricas. O critérioH Infinito foi usado para outros tipos de robôs e será aplicado ao quadrotor neste trabalho. Além desse caráter robusto do critério de controle adotado, este trabalho usa processos gaussianos para ...
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