Wind Estimation for Accurate Airplane Path Following Applications

Brezoescu, A.; Castillo, Pedro; Lozano, Rogelio

doi:10.1007/s10846-013-9930-7

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…These assumptions are valid in conventional aircraft and plane configurations, but not for VTOL convertiplanes. Omitting the effects of wind on a convertiplane in copter mode can cause significant deviations between the digital twin and the actual UAV [27].…”

Section: Uav Digital Twinsmentioning

confidence: 99%

VTOL UAV digital twin for take-off, hovering and landing in different wind conditions

Aláez

Olaz

Prieto

et al. 2023

Simulation Modelling Practice and Theory

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Section: Uav Digital Twinsmentioning

confidence: 99%

VTOL UAV digital twin for take-off, hovering and landing in different wind conditions

Aláez

Olaz

Prieto

et al. 2023

Simulation Modelling Practice and Theory

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“…•HF (20) Referring to the dependencies (1), ( 2), ( 12), ( 13) and ( 20), the complete law of headwind estimation (including temporary gusts) can be formulated as (21), and finally, as Equation (22).…”

Section: The Use Of a Cascaded Complementary Filter For Estimation Of...mentioning

confidence: 99%

“…In order to reduce delays in the wind parameter estimation process and exclude the influence of airplane control on the obtained result, inertial measurements and flight dynamics are also taken into account [15][16][17]. A gust of the same intensity acting on a small airplane or an unmanned aerial vehicle (UAV) [18][19][20] has a different impact on its accelerations than acting on an airplane which weigh a dozen tons [21]. Massive airplanes' responses are slower and more delayed in time.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Atmospheric Gusts Using Integrated On-Board Systems of a Jet Transport Airplane—Flight Simulations

Szwed

Rzucidło²,

Rogalski³

2022

Applied Sciences

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Currently, quite accurate measurements of atmospheric gusts are carried out by airport systems only in the vicinity of the runways. There is a still open issue of availability of information about real wind gusts at cruising altitudes and during approach at a considerable distance from the airfield. Standard on-board systems of a jet transport airplane provide some information which is desirable to have knowledge of how flight parameters reflect real gust parameters and their impact on the aircraft dynamics. The paper proposes an algorithm for headwind gust magnitude estimation in relation to aircraft response. The analysed estimation algorithms assume the use of data available from the existing on-board systems only without the employment of any extra sensors or ground and satellite systems. In this way, many problems caused by different structures, configurations, and ways of installation of additional sensors and structural changes are rejected. The algorithms use the classical method for estimation of wind parameters as well as a linear longitudinal model of aircraft dynamics, taking into account the influence of wind gusts. Data fusion was realised with the use of three filtration methods. Results were evaluated to select the most accurate method of the estimation. Test data were obtained from advanced flight simulation. The experimental scenario considered a flight of a passenger twin-engine jet airplane through a layer of programmed gusts. The results of the flight simulations allowed us to determine the accuracy of the proposed gust estimation algorithms in reference to the ideal wind-speed data analysis obtained directly from the simulation environment (with the accuracy of the simulation process). The use of the proposed gust estimation algorithms may provide more accurate signal for integrated on-board systems, especially for wind shear detection and sped-up response time of flight control systems, protecting aircrafts against the adverse impact of encountered wind shear or gusts, e.g., auto-thrust or auto-throttle systems. The dedicated algorithm presented in the paper may increase the safety level of take-off and approach phases in gusty conditions and also during significant changes in wind speed at cruising altitudes in the case of crossing the area of jet stream occurrence.

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“…Planning optimal trajectories is a rich and dynamic research domain with many application areas like robotics, space or aviation [6], [2], [3]. Depending on the problems' needs, the issues are different in nature and so are the techniques used to solve them.…”

Section: Introductionmentioning

confidence: 99%

“…In [15], Alton uses the Ordered Upwind algorithm with the Semi-Lagrangian method to generate optimal trajectories. In [3] a straightforward wind computation approach is presented, which relies on the difference between the predicted motion of the aircraft and the real motion measured by sensors. This wind estimation is fully tactical.…”

Section: Introductionmentioning

confidence: 99%

Robust aircraft optimal trajectory in the presence of wind

Legrand

Puechmorel

Delahaye

et al. 2018

IEEE Aerosp. Electron. Syst. Mag.

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Aircraft optimal trajectory planning in the presence of wind is a critical issue for airlines to save fuel. Planning is difficult due to the uncertainties linked to wind. Based on wind predictions, airlines have to compute trajectory planning for their aircraft in an efficient way. Such planning has to propose robust solutions which take into account wind variability. In this paper, we propose a robust wind optimal trajectory design algorithm based on two phases. The first phase considers the wind map predictions and computes for each of them the associated wind optimal trajectory also called geodesic. Such geodesics are computed with a Bellman algorithm on a grid covering an elliptical shape projected on the sphere. The second phase of the algorithm extract the most robust geodesic trajectories by the mean of a new trajectory clustering algorithm. This clustering algorithm is based on a new mathematical distance involving continuous deformation approach applied to north Atlantic flights 1 .

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Wind Estimation for Accurate Airplane Path Following Applications

Cited by 10 publications

References 11 publications

VTOL UAV digital twin for take-off, hovering and landing in different wind conditions

VTOL UAV digital twin for take-off, hovering and landing in different wind conditions

Estimation of Atmospheric Gusts Using Integrated On-Board Systems of a Jet Transport Airplane—Flight Simulations

Robust aircraft optimal trajectory in the presence of wind

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