Maneuver Optimization for Simultaneous Airspeed Calibration and Wind Estimation
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Aerospace Engineering
Volume 35, Issue 2
Abstract
The purpose of this work is to optimize systematically the maneuver required to identify the wind and calibrate the airspeed sensor of a subsonic aircraft using a global positioning system method. The optimization is based on sensitivity analyses that require a considerable number of flight simulations. To face this challenging computational effort, we adapted and parallelized a particle swarm optimization algorithm. We also introduced a new formulation of the sensor model in the Bernstein form. The results show stability using the selected formulation and bring out nonobvious aliasing and precision loss effects that depend on the maneuver configuration. The knowledge of these effects allowed us to fine-tune the maneuver in order to improve the estimation’s precision. Finally, we validated the method using the JSBSim flight simulator under calm and light turbulence conditions.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies.
The complete results of the sensitivity analyses are available at the IEEE Dataport, accessible from (Rubio-Sierra 2021a). This dataset includes the four unidimensional and the six bidimensional possible analyses of the maneuver. Regarding the bidimensional analyses, we also included averaged versions that compact the results of the different swarms of the same parameter combination. Scripts in R language to reproduce the plots from the data are within the dataset.
In the interest of facilitating further research and allowing to reproduce the experiments, we made open source the complete code. The CUDA PSO implementation is available in (Rubio-Sierra 2020) and the code that performs the simulations, written in Kotlin language, is in (Rubio-Sierra 2021b). The JSBSim XML files needed to reproduce the validation section are also in this repository. Instructions for compiling and launching the tests are within the code.
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Published In
Journal of Aerospace Engineering
Volume 35 • Issue 2 • March 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Aug 17, 2021
Accepted: Nov 22, 2021
Published online: Jan 11, 2022
Published in print: Mar 1, 2022
Discussion open until: Jun 11, 2022
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