A method, apparatus, and computer-readable storage medium are disclosed for simulating an event on an aircraft during a flight using a physical flight simulator capable of simulating the flight and the event on the aircraft. The method includes generating executable code including one or more scripts configured to be deployed on the physical flight simulator to simulate one or more aircraft parameters on the aircraft during the event, the one or more aircraft parameters characterizing a current status of the aircraft or systems thereof during the flight. The method further includes a computer processor executing a simulating application to simulate the event. Furthermore, the computer processor is configured to deploy the one or more scripts to output the one or more aircraft parameters to the physical flight simulator, subject to the one or more aircraft parameters, and receive user input in response to the event thereto.

A method, includes saving in-flight data from an aircraft during a simulated training exercise, wherein the in-flight data includes geospatial locations of the aircraft, positional attitudes of the aircraft, and head positions of a pilot operating the aircraft, saving simulation data relating to a simulated virtual object presented to the pilot as augmented reality content in-flight, wherein the virtual object was programmed to interact with the aircraft during the simulated training exercise and representing the in-flight data from the aircraft and the simulation data relating to the simulated virtual object as a replay of the simulated training exercise.

In an aspect of the present disclosure is a system for simulating an electrical vertical takeoff and landing (eVTOL) aircraft, including a fuselage comprising one or more pilot inputs, each of the pilot inputs configured to detect pilot datum; a concave screen facing the fuselage; a plurality of projectors directed at the concave screen; a computing device communicatively connected to the plurality of projectors, the computing device configured to: receive the pilot datum detected by the pilot inputs; generate a simulated eVTOL flight maneuver as a function of the pilot datum; and command the plurality of projectors to display one or more images based on the simulated flight maneuver.

Systems, methods, and computer products according to the principles of the present inventions may involve a training system for a pilot of an aircraft. The training system may include an aircraft sensor system affixed to the aircraft adapted to provide a location of the aircraft, including an altitude of the aircraft, speed of the aircraft, and directional attitude of the aircraft. It may further include a helmet position sensor system adapted to determine a location of a helmet within a cockpit of the aircraft and a viewing direction of a pilot wearing the helmet. The helmet may include a see-through computer display through which the pilot sees an environment outside of the aircraft with computer content overlaying the environment to create an augmented reality view of the environment for the pilot. A computer content presentation system may be adapted to present computer content to the see-through computer display at a virtual marker, generated by the computer content presentation system, representing a geospatial position of a training asset moving within a visual range of the pilot, such that the pilot sees the computer content from a perspective consistent with the aircraft's position, altitude, attitude, and the pilot's helmet position when the pilot's viewing direction is aligned with the virtual marker.

Aspects relate to augmented reality (AR) methods and systems for simulated operation of an electric vertical take-off and landing (eVTOL) aircraft. An exemplary AR system includes at least an aircraft component of an eVTOL aircraft, a computing device configured to operate a flight simulator to simulate flight in an environment and simulate at least a virtual representation interactive with the flight simulator, where the at least a virtual representation includes an aircraft digital twin of the at least an aircraft component, and a mesh network configured to communicatively connect the at least an aircraft component and the computing device and communicate encrypted data.

Systems, methods, and computer products according to the principles of the present inventions may involve a training system for a pilot of an aircraft. The training system may include an aircraft sensor system affixed to the aircraft adapted to provide a location of the aircraft, including an altitude of the aircraft, speed of the aircraft, and directional attitude of the aircraft. It may further include a helmet position sensor system adapted to determine a location of a helmet within a cockpit of the aircraft and a viewing direction of a pilot wearing the helmet. The helmet may include a see-through computer display through which the pilot sees an environment outside of the aircraft with computer content overlaying the environment to create an augmented reality view of the environment for the pilot. A computer content presentation system may be adapted to present computer content to the see-through computer display at a virtual marker, generated by the computer content presentation system, representing a geo-spatial position of a training asset moving within a visual range of the pilot, such that the pilot sees the computer content from a perspective consistent with the aircraft's position, altitude, attitude, and the pilot's helmet position when the pilot's viewing direction is aligned with the virtual marker.

One embodiment of the present disclosure relates to a method of simulating a weather pattern for use in a simulator environment. The method includes receiving an input corresponding to a desired weather event and determining a set of weather parameters pertaining to the desired weather event. The method further includes searching a weather event database for a matching weather event. The weather event database includes weather data for a plurality of weather events. The method includes identifying the matching weather event. The matching weather event includes at least a portion of the set of weather parameters pertaining to the desired weather event. The method includes receiving weather data corresponding to the matching weather event. The method further includes creating a model of the matching weather event.

An aircraft simulation system comprising a user interface and a simulator in communication with the user interface. The user interface is configured to interact with an operator. The simulator is configured to generate a representation of controls in an aircraft that are visible from a current field of view identified by the user interface. The simulator is further configured to display the representation of the controls on the user interface. The simulator is further configured to identify interaction by the operator with the controls from user input received by the user interface. The simulator is further configured to record a sequence of performed operations from the interaction with the controls.

Flight simulation models are described that have one or more model components that are based on angle-of-attack (AOA) rate. An example method includes monitoring a behavior of a simulated aircraft in a flight simulation, determining an AOA rate of the aircraft during a simulated dynamic stall maneuver, determining a value for a model component based on the determined AOA rate and simulating a first aerodynamic effect on the behavior of the aircraft during the simulated dynamic stall maneuver based on the value of the model component.

A device for pilot training includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data from a flight simulator. The sensor data includes pilot activity data and motion data. The motion data is indicative of detected motion of a simulated aircraft of the flight simulator. The processor(s) are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The processor(s) are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The processor(s) are configured to provide the estimated error to a second device.