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Communication Dans Un Congrès Année : 2020

Identification of the Propeller Coefficients and Dynamic Parameters of a Hovering Quadrotor from Flight Data

Résumé

Several methods can be applied to estimate the propeller thrust and torque coefficients and dynamics parameters of quadrotor UAVs. These parameters are necessary for many controllers that have been proposed for these vehicles. However, these methods require the use of specific test benches, which do not well simulate real flight conditions. In this paper, a new method is introduced which allows the identification of the propeller coefficients and dynamic parameters of a quadrotor in a single procedure. It is based on a Total-Least-Square identification technique, does not require any specific test bench and needs only a measurement of the mass of the quadrotor and a recording of data from a flight that can be performed manually by an operator. Because the symmetries of classic quadrotors limit the performance of the algorithm, an extension of the procedure is proposed. Two types of flights are then used: one with the initial quadrotor and a second flight with an additional payload on the vehicle that modifies the mass distribution. This new procedure, which is validated experimentally, increases the performance of the identification and allows an estimation of all the relevant dynamic parameters of the quadrotor near hovering conditions.
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Dates et versions

hal-02491491 , version 1 (26-02-2020)

Identifiants

  • HAL Id : hal-02491491 , version 1

Citer

Damien Six, Sébastien Briot, Julian Erskine, Abdelhamid Chriette. Identification of the Propeller Coefficients and Dynamic Parameters of a Hovering Quadrotor from Flight Data. IEEE 2020 International Conference on Robotics and Automation (ICRA 2020), May 2020, Paris, France. ⟨hal-02491491⟩
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