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Transition control of a tail-sitter UAV using recurrent neural networks

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Document pages: 7 pages

Abstract: This paper presents the implementation of a Recurrent Neural Network (RNN)based-controller for the stabilization of the flight transition maneuver(hover-cruise and vice versa) of a tail-sitter UAV. The control strategy isbased on attitude and velocity stabilization. For that aim, the RNN is used forthe estimation of high nonlinear aerodynamic terms during the transition stage.Then, this estimate is used together with a feedback linearization techniquefor stabilizing the entire system. Results show convergence of linearvelocities and the pitch angle during the transition maneuver. To analyze theperformance of our proposed control strategy, we present simulations for thetransition from hover to cruise and vice versa.

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