Vertical Stabilizers

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The Experts below are selected from a list of 756 Experts worldwide ranked by ideXlab platform

Piotr Samoraj - One of the best experts on this subject based on the ideXlab platform.

Michal Salacinski - One of the best experts on this subject based on the ideXlab platform.

Sergio Esteban - One of the best experts on this subject based on the ideXlab platform.

  • A robust adaptive mixing control for improved forward flight of a tilt-rotor UAV
    2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
    Co-Authors: Daniel Neri Cardoso, Guilherme V. Raffo, Sergio Esteban
    Abstract:

    This work presents the modeling and control of a tilt-rotor UAV, with tail controlled surfaces, for path tracking with improved forward flight. The dynamic model is obtained using the Euler-Lagrange formulation considering the aerodynamic forces and torques exerted on the horizontal and Vertical Stabilizers, and fuselage. For control design purposes, the equations of motion are linearized around different operation points to cover a large range of forward velocity. Based on these linearized dynamic models, a mixed H2/H∞ robust controller is designed for each operation point. Therefore, an adaptive mixing scheme is used to perform an on-line smooth gain-scheduling between them. Simulation results show the control strategy efficiency when the UAV is designated to have a forward acceleration and perform a circular trajectory subject to a wind disturbance.

  • ITSC - A robust adaptive mixing control for improved forward flight of a tilt-rotor UAV
    2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
    Co-Authors: Daniel Neri Cardoso, Guilherme V. Raffo, Sergio Esteban
    Abstract:

    This work presents the modeling and control of a tilt-rotor UAV, with tail controlled surfaces, for path tracking with improved forward flight. The dynamic model is obtained using the Euler-Lagrange formulation considering the aerodynamic forces and torques exerted on the horizontal and Vertical Stabilizers, and fuselage. For control design purposes, the equations of motion are linearized around different operation points to cover a large range of forward velocity. Based on these linearized dynamic models, a mixed H 2 /H ∞ robust controller is designed for each operation point. Therefore, an adaptive mixing scheme is used to perform an on-line smooth gain-scheduling between them. Simulation results show the control strategy efficiency when the UAV is designated to have a forward acceleration and perform a circular trajectory subject to a wind disturbance.

Piotr Synaszko - One of the best experts on this subject based on the ideXlab platform.

Dawid Olesiński - One of the best experts on this subject based on the ideXlab platform.