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

• URL: http://arxiv.org/abs/2006.16401v1
• Date: Mon, 29 Jun 2020 21:33:30 GMT
• Title: Transition control of a tail-sitter UAV using recurrent neural networks
• Authors: Alejandro Flores and Gerardo Flores
• Abstract summary: The control strategy is based on attitude and velocity stabilization. The RNN is used for the estimation of high nonlinear aerodynamic terms. Results show convergence of linear velocities and the pitch angle during the transition maneuver.
• Score: 80.91076033926224
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 is based on attitude and velocity stabilization. For that aim, the RNN is used for the estimation of high nonlinear aerodynamic terms during the transition stage. Then, this estimate is used together with a feedback linearization technique for stabilizing the entire system. Results show convergence of linear velocities and the pitch angle during the transition maneuver. To analyze the performance of our proposed control strategy, we present simulations for the transition from hover to cruise and vice versa.

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