System for flight simulation of an electric aircraft
A system for flight simulation of an electric aircraft. The system includes a pilot control. The pilot control is configured to receive an input from a user. The system includes a pilot command that is generated by the pilot control. The system includes a computing device configured to generate a simulation. The simulation includes an electric aircraft model. The electric aircraft model is configured to simulate a performance of an electric aircraft. The performance is determined by at least the pilot command. The simulation is configured to provide feedback to the user based on the performance of the electric aircraft. The simulation is further configured to updated the electric aircraft model as a function of the pilot command.
1. A system for flight simulation of an electric aircraft, the system including:
a pilot control, wherein the pilot control is configured to receive an input from a user;
a pilot command, wherein the pilot command is generated by the input;
a flight controller configured to generate an autonomous function as a function of an autonomous machine-learning model, the autonomous machine-learning model configured to receive a flight element and a pilot signal as inputs and outputs an autonomous function for the aircraft, wherein the autonomous machine-learning model is trained as a function of autonomous training data and the autonomous training data correlates at least the flight element, the pilot signal, and simulation data to the autonomous function; and
a computing device, wherein the computing device is configured to generate a simulation,
the simulation including an electric aircraft model and the autonomous machine learning-model, the electric aircraft model configured to:
simulate a performance of an electric aircraft, wherein the performance is determined by at least the pilot command and the autonomous function; and
provide feedback to the user based on the performance of the electric aircraft; and
wherein the simulation is configured to update the electric aircraft model as a function of the pilot command.
2. The system of claim 1 , wherein the electric aircraft model includes an eVTOL model.
3. The system of claim 1 , wherein the pilot control includes a control device.
4. The system of claim 1 , wherein the pilot control includes a brake device.
5. The system of claim 1 , wherein the pilot control includes a throttle device.
6. The system of claim 1 , wherein the pilot command is configured to identify a torque of a flight component of the electric aircraft model as a function of the input of the user.
7. The system of claim 1 , wherein the simulation is configured to include a battery performance of the electric aircraft model.
8. The system of claim 7 , wherein the battery performance includes thermal performance of a battery of the electric aircraft model.
9. The system of claim 7 , wherein the battery performance includes a charge state.
10. The system of claim 7 , wherein the battery performance includes a health state.
11. A method for simulating a flight of an electric aircraft, the method including:
providing a pilot controller configured to receive an input from a user;
receiving, on a computing device, a pilot command, wherein the pilot command is generated by a user input from a pilot control;
generating, by a flight controller in communication with the computing device, an autonomous function as a function of an autonomous machine-learning model, the autonomous machine-learning model configured to receive a flight element and a pilot signal as inputs and outputs an autonomous function for the aircraft, wherein the autonomous machine-learning model is trained as a function of autonomous training data and the autonomous training data correlates at least the flight element, the pilot signal, and simulation data to the autonomous function;
generating, on the computing device, a simulation, wherein the simulation is configured to include:
an electric aircraft model, the electric aircraft model configured to:
simulate a performance of an electric aircraft, wherein the performance is determined by at least the pilot command and the autonomous function; and
provide feedback to the user based on the performance of the electric aircraft;
the autonomous machine learning-model;
a performance metric of the electric aircraft model; and
updating the simulation as a function of the pilot command.
12. The method of claim 11 , wherein the electric aircraft model includes an eVTOL.
13. The method of claim 11 , wherein the pilot controller includes a control device.
14. The method of claim 11 , wherein the pilot controller includes a brake device.
15. The method of claim 11 , wherein the pilot controller includes a throttle device.
16. The method of claim 11 , wherein the performance metric of the electric aircraft model includes a battery performance of the electric aircraft model.
17. The method of claim 16 , wherein the battery performance includes thermal performance.
18. The method of claim 16 , wherein the battery performance includes a charge state.
19. The method of claim 11 , wherein the simulation is further configured to include a graphical user interface (GUI).
20. The method of claim 11 , wherein the pilot command is configured to identify a torque applied to a flight component of the electric aircraft model based on the user input of the pilot control.