Abstract:
Devices and computer-implemented methods for analyzing aircraft trajectories, the method includes the steps of receiving data associated with a plurality of aircraft trajectories; breaking the trajectories down into a plurality of vectors, a vector comprising one or more sequences of enumerators; aligning multiple vectorized trajectories by shifting sequences of enumerators by one or more positions; and detecting one or more anomalies in one or more trajectories by unsupervised classification (e.g. DBSCAN). Developments describe the supervised determination of trajectory anomaly detection models, the use of density-based algorithms, the use of one or more neural networks and/or decision trees, one or more display steps, notably displaying root causes (explainable or understandable artificial intelligence), the processing of avionics data flows, etc. System (e.g. computing) and software aspects are described.
Abstract:
A computer-implemented method for optimizing a mission of an aircraft, the aircraft having a predefined flight plan between a starting point and an arrival point, the flight plan comprising a set of waypoints. The method comprises steps of: calculating, for the aircraft, a reference trajectory between the starting point and the arrival point, the reference trajectory comprising a set of segments and of intermediate points linking the segments of the reference trajectory; defining a search area in the reference trajectory between an initial position and a final position to be reached for this area; determining, in the search area, all possible shortcuts between the initial position and the final position, a shortcut being able to take into account any type of point, points of the flight plan and/or intermediate points of the reference trajectory; and identifying the combination of shortcuts corresponding to an optimum path according to an optimization criterion, the optimum path optimizing the mission of the aircraft in the search area.
Abstract:
A navigational aid method of an aircraft, carried out by a flight management system, for comparing a reference trajectory of the aircraft subjected to a wind vector field with a new trajectory between the same starting and end points, respectively, the method comprises: determining the reference trajectory, determining the new trajectory, loading meteorological data, determining a directional surface, delimited by a directional closed curve, consisting of the new trajectory, from the starting point to the end point, closed by the opposite of the reference trajectory from the end point to the starting point, determining a wind curl on the basis of the wind vector field, determining a flow of the wind curl through the surface, a positive value of flow indicating that the new trajectory makes better use of the wind load, a negative value of flow indicating that the new trajectory makes less effective use of the wind load.
Abstract:
Systems and methods for managing the flight of an aircraft, include the steps of receiving data from recordings of the flight of an aircraft; the data comprising data from sensors and/or data from the onboard avionics; determining the aircraft state at a point N on the basis of the received data; determining the state of the aircraft at the point N+1 on the basis of the state of the aircraft at point N by applying a model learnt by means of machine learning. Developments describe the use of the flight parameters SEP, FF and N1; offline and/or online unsupervised machine learning, according to a variety of algorithms and neural networks. Software aspects are described.
Abstract:
A navigation aid method to determine an improved trajectory between points of departure and arrival as a function of a trajectory cost, comprises: determining a grid of nodes, loading meteorological data at the nodes, determining for each node, an average instantaneous cost from a first instantaneous cost as a function of a ground speed taking into account meteorological data loaded at the node concerned, and from a second instantaneous cost as a function of a ground speed that does not take into account the loaded meteorological data, determining a length of a trajectory passing through the node and arriving at the point of arrival, determining a cost grid assigning, at each of the nodes of the grid, a local cost determined from the average instantaneous cost and the length, determining an improved trajectory from the cost grid, and graphically representing the improved trajectory and/or the cost grid to a crew.
Abstract:
A navigation aid method to determine an improved trajectory between points of departure and arrival as a function of a trajectory cost, comprises: determining a grid of nodes, loading meteorological data at the nodes, determining for each node, an average instantaneous cost from a first instantaneous cost as a function of a ground speed taking into account meteorological data loaded at the node concerned, and from a second instantaneous cost as a function of a ground speed that does not take into account the loaded meteorological data, determining a length of a trajectory passing through the node and arriving at the point of arrival, determining a cost grid assigning, at each of the nodes of the grid, a local cost determined from the average instantaneous cost and the length, determining an improved trajectory from the cost grid, and graphically representing the improved trajectory and/or the cost grid to a crew.
Abstract:
A navigation aid method for an aircraft flying a reference trajectory between a point of departure and a point of arrival subject to a field of wind vectors comprises: decomposing the reference trajectory into a plurality of discrete waypoints Pi, loading meteorological data comprising the field of wind vectors, iterating the following steps N times, to generate an improved trajectory: for each waypoint Pi named current point, determining a reference plane, determining an orthonormal reference frame, determining a wind curl ((∇W)Pi), determining a sign of the projection of the wind curl on axis zi ((∇W)zi Pi), determining a direction of displacement from the current point Pi to a new current waypoint Pi′, determining a line of displacement, determining a displacement distance, determining the new current waypoint, determining a new trajectory, assigning the new waypoints Pi′ determined in the preceding iteration to the waypoints Pi for the next iteration.
Abstract:
Methods and systems for optimizing the flight of an aircraft are disclosed. The trajectory is divided into segments, each of the segments being governed by distinct sets of equations, depending on engine thrust mode and on vertical guidance (climb, cruise or descent). By assuming two, aerodynamic and engine-speed, models, data from flight recordings are received and a number of parameters from a parameter-optimization engine is iteratively determined by applying a least-squares calculation until a predefined minimality criterion is satisfied. The parameter optimization engine is next used to predict the trajectory point following a given point. Software aspects and system (e.g. FMS and/or EFB) aspects are described.
Abstract:
A method for aiding navigation is provided, implemented in a flight management system, for the construction of a vertical trajectory of an aircraft following a predetermined lateral trajectory between a departure point and an arrival point; the departure point and arrival point furthermore being characterized by predefined altitudes, respectively Hd and Ha, and predefined speeds, respectively Vd and Va. The method comprises the steps of: selection of a transition manoeuvre in terms of altitude and speed from a predetermined list of manoeuvres; determination of a manoeuvre point PM on the lateral trajectory, of altitude Hd and of speed Vd, from which the transition manoeuvre must be initiated so as to allow the aircraft to reach at the arrival point the predefined speed Va and the predefined altitude Ha.
Abstract:
A method and system for determining an airspeed of an aircraft, known as assisted aircraft, comprises: a) determining a position; b) measuring a ground speed; c) receiving a plurality of messages from a plurality of other assisting, aircraft, each message containing a first item of information, indicating a position of an assisting aircraft, and a second item of information, indicating a wind speed at the position; d) estimating a wind speed at the position of the assisted aircraft by interpolating the wind speed values at the positions of the assisting aircraft obtained in step c); and e) computing a true speed of the assisted aircraft by using the vector difference between its ground speed, measured in step b), and the wind speed estimated in step d). The method can check operation of an anemometric subsystem aboard an aircraft, to compensate for any malfunction and/or to enable automatic piloting.