Aircraft acceleration prediction using lidar trained artificial intelligence
AssigneeThe Boeing Company
InventorNathan D. Hiller
Life of this patent
Estimating the term…
Abstract
An air vehicle management system comprising a controller for an air vehicle. The controller is configured to determine a prediction of an acceleration using an air vehicle model system and backscatter data. The air vehicle model system is trained to predict the acceleration using the backscatter data and is generated using backscatter light detected from emitting a laser beam in an atmosphere in a direction ahead of the air vehicle. The controller is configured to determine an adjustment to a number of flight control settings for the air vehicle that reduces a stress on the air vehicle using the prediction of the acceleration. The controller is configured to adjust the number of flight control settings using the adjustment.
Claims33
An air vehicle management system comprising:
- a lidar system in an air vehicle, wherein the lidar system is configured to:
- emit a laser beam in an atmosphere in a direction ahead of the air vehicle;
- receive a backscatter light generated in response to emitting the laser beam;
- and
- generate backscatter data using the backscatter light;
- an air vehicle model system trained to predict an acceleration for the air vehicle using a current measurement of the acceleration and the backscatter data;
- and
- a controller configured to:
- determine a prediction of the acceleration using the air vehicle model system, the current measurement of the acceleration, and the backscatter data;
- determine an adjustment to a number of flight control settings for the air vehicle that reduces a stress on the air vehicle using the prediction of the acceleration;
- and
- adjust the number of flight control settings using the adjustment.
An air vehicle management system comprising:
- an air vehicle model system trained to predict a number of atmospheric states for the air vehicle using a current measurement of the number of atmospheric states;
- and
- a controller configured to:
- determine a prediction of the number of atmospheric states using the air vehicle model system and the current measurement of number of atmospheric states;
- determine an adjustment to a number of flight control settings for the air vehicle using the prediction of the number of atmospheric states;
- and
- adjust the number of flight control settings using the adjustment.
An air vehicle management system comprising:
- a controller for an air vehicle, wherein the controller is configured to:
- determine a prediction of an acceleration using an air vehicle model system and backscatter data, wherein the air vehicle model system is trained to predict the acceleration using the backscatter data generated using backscatter light detected from emitting a laser beam in an atmosphere in a direction ahead of the air vehicle;
- determine an adjustment to a number of flight control settings for the air vehicle that reduces a stress on the air vehicle using the prediction of the acceleration;
- and
- adjust the number of flight control settings using the adjustment.
An air vehicle management system comprising:
- a computer system;
- and
- a model generator in the computer system, wherein the model generator is configured to:
- create a training dataset comprising historical backscatter data generated by lidar systems in a number of air vehicles during a flight of the number of air vehicles and historical measurements of acceleration for the number of air vehicles during the flight of the number of air vehicles;
- and
- train a machine learning model system using the training dataset to form an air vehicle model system that predicts an acceleration for an air vehicle using a current measurement of the acceleration of the air vehicle and the backscatter data generated by a lidar system in the air vehicle.
A method for managing flight controls for an air vehicle, the method comprising:
- determining a prediction of an acceleration for the air vehicle using an air vehicle model system, a current measurement of the acceleration, and backscatter data, wherein the air vehicle model system is trained to predict acceleration for the air vehicle using the current measurement of the acceleration and the backscatter data;
- determining an adjustment to a number of flight control settings for the air vehicle that reduces a stress on the air vehicle using the prediction of the acceleration;
- and
- adjusting the number of flight control settings using the adjustment.
Dependencies are inferred from the claim text.