RT info:eu-repo/semantics/article
T1 Maneuver Optimization for Simultaneous Airspeed Calibration and Wind Estimation
A1 Rubio Sierra, Carlos
A1 Delgado Marcos, Adrián
A1 Fernández Martínez, Juan Luis
A2 Ingenieria Aeroespacial
K1 Aeronáutica
K1 Airspeed calibration
K1 GPS method
K1 Particle swarm optimization
K1 Maneuver analysis
K1 Wind estimation
K1 3301 Ingeniería y Tecnología Aeronáuticas
AB [EN] 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 GPS 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 non-obvious 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.
PB ASCE
SN 0893-1321
LK https://hdl.handle.net/10612/18019
UL https://hdl.handle.net/10612/18019
NO Rubio-Sierra, C., Delgado, A., & Fernández-Martínez, J. L. (2022). Maneuver Optimization for Simultaneous Airspeed Calibration and Wind Estimation. Journal of Aerospace Engineering, 35(2), 04022004.
NO Doi del Erratum: https://doi.org/10.1061/(ASCE)AS.1943-5525.0001435
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 17-may-2024