Systems and methods for flight control system using simulator data
A system for flight control system using simulator data for an electric aircraft is presented. The system includes a computing device, the computing device configured to receive a plurality of measured flight data, simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data, determine a moment datum as a function of the plurality of measured flight data and the plurality of aircraft performance model outputs, generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs, and perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command and the moment datum.
1. A system for flight control system using simulator data for an electric aircraft, the system comprising:
a computing device, the computing device configured to:
receive a plurality of measured flight data comprising a desired command;
simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data;
generate a plurality of expected aircraft performance model outputs;
identify a malfunctioning flight component of the electric aircraft as a function of the plurality of measured flight data and the plurality of expected aircraft performance model outputs, wherein identifying the malfunctioning flight component comprises:
sorting the plurality of expected aircraft performance model outputs based on similarity to the measured flight data;
determine a moment datum, wherein the moment datum is determined as a function of at least the desired command of the plurality of measured flight data and the plurality of expected aircraft performance model outputs and comprises a plurality of prioritization data, the plurality of prioritization data comprising a prioritization datum corresponding to each of the plurality of aircraft performance model outputs;
generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs; and
perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command datum and the moment datum.
2. The system of claim 1 , wherein the plurality of measured flight data further comprises an input datum.
3. The system of claim 1 , wherein the plurality of aircraft performance model outputs further comprises at least a battery performance model.
4. The system of claim 3 , wherein the at least battery performance model comprises a thermal performance of a battery of an aircraft performance model output of the plurality of aircraft performance model outputs.
5. The system of claim 1 , wherein the computing device is further configured to generate a machine-learning model, wherein the machine-learning model is configured to receive the plurality of measured flight data as an input and output an aerodynamic model output as a function of a training data set.
6. The system of claim 1 , wherein the computing device further comprises an outer loop controller, the outer loop controller configured to generate a rate setpoint as a function of the plurality of measured flight data.
7. The system of claim 6 , wherein the computing device further comprises an inner loop controller, the inner loop controller configured to generate the moment datum as a function of the rate setpoint.
8. The system of claim 1 , wherein the computing device further comprises a mixer, wherein the mixer is configured to determine a plurality of modified commands as a function of the moment datum and the plurality of measured flight data.
9. The system of claim 1 , wherein the computing device is further configured to display a remaining vehicle torque and the allocation command datum on a display.
10. A method for flight control system using simulator data for an electric aircraft, the method comprising:
receiving, by a computing device, a plurality of measured flight data comprising a desired command;
simulating a plurality of aircraft performance model outputs as a function of the plurality of measured flight data;
generating, by the computing device a plurality of expected aircraft performance model outputs;
identifying, by the computing device, a malfunctioning flight component of the electric aircraft as a function of the plurality of measured flight data and the a plurality of expected aircraft performance model outputs, wherein identifying the malfunctioning flight component comprises:
sorting, by the computing device, the plurality of expected aircraft performance model outputs based on similarity to the measured flight data;
determining by the computing device, a moment datum, wherein the moment datum is determined as a function of at least the desired command of the plurality of measured flight data and the plurality of expected aircraft performance model outputs and comprises a plurality of prioritization data, the plurality of prioritization data comprising a prioritization datum corresponding to each of the plurality of aircraft performance model outputs;
generating by the computing device, an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs; and
performing by the computing device, a torque allocation on a flight component of a plurality of flight components as a function of the allocation command datum and the moment datum.
11. The method of claim 10 , wherein receiving the plurality of measured flight data further comprises receiving an input datum.
12. The method of claim 10 , wherein simulating the plurality of aircraft performance model outputs further comprises simulating at least a battery performance model.
13. The method of claim 12 , wherein simulating the at least battery performance model further comprises simulating a thermal performance of a battery of an aircraft performance model output of the plurality of aircraft performance model outputs.
14. The method of claim 10 , wherein the method further comprises generating a machine-learning model, wherein the machine-learning model is configured to receive the plurality of measured flight data as an input and output an aerodynamic model output as a function of a training data.
15. The method of claim 10 , wherein the method further comprises generating, by an outer loop controller, a rate setpoint as a function of the plurality of measured flight data.
16. The method of claim 15 , wherein method further comprises generating, by an inner loop controller, the moment datum as a function of the rate setpoint.
17. The method of claim 10 , wherein the method further comprises determining, by a mixer, a plurality of modified commands as a function of the moment datum and the plurality of measured flight data.
18. The method of claim 10 , wherein the method further comprises displaying, on a display, a remaining vehicle torque and the allocation command datum.