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Toutes les publications de l'ENAC en direct.
All ENAC publications.

[hal-02390125] Sum-of-squares Flight Control Synthesis for Deep-stall Recovery

Publications ENAC - Thursday, 5 December 2019 - 02:35:38
In lieu of extensive Monte-Carlo simulations for flight control verification, sum-of-squares programming techniques provide an algebraic approach to the problem of nonlinear control synthesis and analysis. However, their reliance on polynomial models has hitherto limited the applicability to aeronautical control problems. Taking advantage of recently proposed piecewise polynomial models, this paper revisits sum-of-squares techniques for recovery of an aircraft from deep-stall conditions using a realistic yet tractable aerodynamic model. Local stability analysis of classical controllers is presented as well as synthesis of polynomial feedback laws with the objective of...

[hal-02390130] Local stability analysis for large polynomial spline systems

Publications ENAC - Thursday, 5 December 2019 - 02:35:38
Polynomial switching systems such as multivariate splines provide accurate fitting while retaining an algebraic representation and offering arbitrary degrees of smoothness; yet, application of sum-of-squares techniques for local stability analysis is computationally demanding for a large number of subdomains. This communiqué presents an algorithm for region of attraction estimation that is confined to those subdomains actually covered by the estimate, thereby significantly reducing computation time. Correctness of the results is subsequently proven and the run time is approximated in terms of the number of total and covered subdomains. Application to longitudinal...

[hal-02388282] Simulation-Free Runway Balancing Optimization Under Uncertainty Using Neural Network

Publications ENAC - Tuesday, 3 December 2019 - 14:47:34
This paper proposes a new optimization scheme using neural network for runway balancing to minimize departure and arrival aircraft delay. While other researchers have proposed solutions to the runway balancing problem using a simulation-based technique to calculate aircraft delay, the proposed method replaces the simulation by a neural network model-based estimation using the actual operational data, thus providing the following two advantages. First, accurate estimation of aircraft delay can improve the solution of the runway balancing problem. Second, the simulation process is not required in the optimization. Although it is difficult to develop an accurate simulation...

[hal-02388287] Integrated Traffic Flow Based Optimization of Airport and Terminal Area

Publications ENAC - Tuesday, 3 December 2019 - 14:46:56
As air traffic demand exceeds available capacity, severe congestion during peak periods occurring at airports and the surrounding terminal airspace leads to flight delays as well as potential safety issues. This paper addresses the optimization problem of integrated traffic management of airport and terminal airspace on macroscopic level. Instead of evaluating the flight conflicts as we did in our previous research, a congestion evaluation model is proposed to quantify the flights for traffic flows in the terminal airspace and the runways, meanwhile, the occupancy evaluations of taxiway network and terminals are conducted. An adapted heuristic optimization method...

[hal-02388296] Door-to-door Travel Time Analysis from Paris to London and Amsterdam using Uber Data

Publications ENAC - Tuesday, 3 December 2019 - 14:45:28
SESAR Flightpath 2050 sets some ambitious goals for air travel, specifically regarding door-to-door travel times. Using Uber data, a reliable estimation of door-to-door travel times is possible which then enables a comparison of different travel modes such as rail and air. This model of the full door-to-door travel time for multi modal trips can also be used to evaluate where Europe stands with respect to SESAR's goals and how they should try to address the related difficulties.

[hal-02388307] Data-driven Conflict Detection Enhancement in Closest Point of Approach Problem

Publications ENAC - Tuesday, 3 December 2019 - 14:44:49
Closest Point of Approach (CPA) is one of the main problems in aircraft Conflict Detection (CD). It aims to find out the minimum distance and the associated time between two aircraft. Conventional CPA calculation algorithm generally assumes that the speed and heading of aircraft are constant. But the uncertainties in real operational scenarios lead to inaccuracy of CPA calculation. This project presents a novel data-driven CD framework with Machine Learning (ML) algorithms. The proposed framework provides a promising solution for improving the CPA prediction accuracy with the help of real trajectory data. It contributes to not only reduce the number of fault Short-mid...

[hal-02388280] Noise Abatement Trajectories for a UAV Delivery Fleet

Publications ENAC - Tuesday, 3 December 2019 - 14:43:50
The use of unmanned aerial vehicles (UAV) for package delivery is one potential solution for resolving the last-mile delivery problem. And despite their potential benefits, UAV delivery fleets are concerning to communities due to their potential noise impact. In response to noise concerns this paper seeks to reduce impact of a UAV delivery-fleet on communities by generating an optimized set of noise-conscience trajectories. Through simulation, we demonstrate that by optimizing flight trajectories it is possible to significantly limit their overall impact to communities with only a marginal increase in energy/fuel costs.

[hal-02388266] Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes

Publications ENAC - Monday, 2 December 2019 - 12:05:48
The asymptotic analysis of covariance parameter estimation of Gaussian processes has been subject to intensive investigation. However, this asymptotic analysis is very scarce for non-Gaussian processes. In this paper, we study a class of non-Gaussian processes obtained by regular non-linear transformations of Gaussian processes. We provide the increasing-domain asymptotic properties of the (Gaussian) maximum likelihood and cross validation estimators of the covariance parameters of a non-Gaussian process of this class. We show that these estimators are consistent and asymptotically normal, although they are defined as if the process was Gaussian. They do not need to...

[hal-02382692] An Optimistic Planning Approach for the Aircraft Landing Problem

Publications ENAC - Monday, 2 December 2019 - 11:58:56
The Aircraft Landing Problem consists in sequencing aircraft on the available runways and scheduling their landing times taking into consideration several operational constraints, in order to increase the runway capacity and/or to reduce delays.In this work we propose a new Mixed Integer Programming (MIP) model for sequencing and scheduling aircraft landings on a single or multiple independent runways incorporating safety constraints by means of separation between aircraft at runways threshold. Due to the NP-hardness of the problem, solving directly the MIP model for large realistic instances yields redhibitory computation times. Therefore, we introduce a novel heuristic...
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