Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications
Institute for Dynamic Systems and Controls, ETH Zurich, 8092 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
Drones 2019, 3(4), 77; https://doi.org/10.3390/drones3040077
Received: 18 September 2019 / Revised: 4 October 2019 / Accepted: 5 October 2019 / Published: 8 October 2019
Two low-order, parametric models are developed for the forces and moments that a rotating propeller undergoes in forward flight. The models are derived using a first-principles-based approach, and are computationally efficient in the sense of being represented by explicit expressions. The parameters for the models can be identified either using supervised learning/grey-box fitting from labelled data, or can be predicted using only the static load coefficients (i.e., the hover thrust and torque coefficients). The second model is a multinomial model that is derived by means of a Taylor series expansion of the first model, and can be viewed as a lower-order lumped parameter model. The models and parameter generation methods are experimentally tested against 19 propellers tested in a wind tunnel under oblique flow conditions, for which the data is made available. The models are tested against 181 additional propellers from existing datasets.
View Full-Text
▼
Show Figures
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
- Supplementary File 1:
ZIP-Document (ZIP, 33631 KiB)
MDPI and ACS Style
Gill, R.; D’Andrea, R. Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications. Drones 2019, 3, 77. https://doi.org/10.3390/drones3040077
AMA Style
Gill R, D’Andrea R. Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications. Drones. 2019; 3(4):77. https://doi.org/10.3390/drones3040077
Chicago/Turabian StyleGill, Rajan; D’Andrea, Raffaello. 2019. "Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications" Drones 3, no. 4: 77. https://doi.org/10.3390/drones3040077
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.