Systems and methods for hybrid autonomous control of an electric aircraft
A system and method for hybrid autonomous control of an electric aircraft is provided. The system generally includes a sensor and a flight controller. The sensor is configured to detect an aircraft position datum, detect an aircraft rate datum, and transmit the aircraft position datum and the aircraft rate datum to a flight controller. The flight controller is configured to receive an aircraft position datum, to receive an aircraft rate datum, and to generate a recommended autopilot output as a function of at least a threshold datum, the aircraft position datum, and the aircraft rate datum.
1. A system for hybrid autonomous control of an electric aircraft, the system comprising:
at least one sensor, wherein the at least one sensor is configured to:
detect a first aircraft position datum;
detect a first aircraft rate datum;
detect a throttle position of a throttle control for an electric propulsion unit; and
transmit the first aircraft position datum, the first aircraft rate datum, and the throttle position to a flight controller;
a flight controller, wherein the flight controller is configured to:
receive the first aircraft position datum;
receive the first aircraft rate datum;
receive the throttle position; and
generate a recommended autopilot output based on the throttle position, the first aircraft position datum, the first aircraft rate datum, and at least one of a target value or a threshold value; and
a display located within the electric aircraft, wherein the display is configured to:
receive the recommended autopilot output from the flight controller; and
display the recommended autopilot output.
2. The system of claim 1 , wherein the flight controller comprises a reconfigurable hardware platform.
3. The system of claim 1 , wherein the first aircraft position datum includes:
a longitude datum; and
a latitude datum.
4. The system of claim 1 , wherein the first aircraft rate datum includes:
a pitch angle datum; and
a torque datum, wherein torque comprises at least roll.
5. The system of claim 1 , wherein the flight controller is further configured to:
generate, using a machine-learning process, the recommended autopilot output.
6. The system of claim 5 , wherein the machine-learning process is a neural network.
7. The system of claim 1 , wherein the flight controller is further configured to transmit the recommended autopilot output to the display.
8. The system of claim 1 , wherein the flight controller is further configured to transmit the recommended autopilot output to at least a flight component of the electric aircraft.
9. A method for hybrid autonomous control of an electric aircraft, the method comprising:
detecting, at least one sensor, a first aircraft position datum;
detecting, at the at least one sensor, a first aircraft rate datum;
detecting a throttle position of a throttle control for an electric propulsion unit;
transmitting, at the at least one sensor, the first aircraft position datum, the first aircraft rate datum, and the throttle position to a flight controller;
receiving, at the flight controller, the first aircraft position datum;
receiving, at the flight controller, the first aircraft rate datum;
generating, at the flight controller, a recommended autopilot output based on the throttle position, the first aircraft position datum, the first aircraft rate datum, and at least one of a target value or a threshold value;
receiving, at a display located within the electric aircraft, the recommended autopilot output from the flight controller; and
displaying, at the display located within the electric aircraft, the recommended autopilot output.
10. The method of claim 9 , wherein the first aircraft position datum includes:
a longitude datum; and
a latitude datum.
11. The method of claim 9 , wherein the first aircraft rate datum includes:
a pitch angle datum; and
a torque datum, wherein torque comprises at least roll.
12. The method of claim 9 , wherein the flight controller is further configured to:
generate, using a machine-learning process, the recommended autopilot output.
13. The method of claim 12 , wherein the machine-learning process is a neural network.
14. The method of claim 9 , wherein the flight controller is further configured to generate an audio notification based on the recommended autopilot output.
15. The system of claim 1 , wherein the electric aircraft comprises at least a flight component, and the at least a flight component comprises a dedicated lift propulsor and a control surface.
16. The system of claim 15 , wherein the dedicated lift propulsor and the control surface are both controlled by the flight controller and using a chipset component and based on a pilot input.
17. The system of claim 1 , wherein the flight controller is further configured to control at least a flight component of the electric aircraft based on a threshold datum.