Jam mitigation in aircraft fly-by-wire systems and related methods
US-10926869-B2 · Feb 23, 2021 · US
US11713109B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11713109-B2 |
| Application number | US-202117515416-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 30, 2021 |
| Priority date | Mar 31, 2021 |
| Publication date | Aug 1, 2023 |
| Grant date | Aug 1, 2023 |
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In an aspect a system for fly-by-wire flight control configured for use in electric aircraft including at least a sensor, wherein the sensor is communicatively connected a pilot control and configured to detect a pilot input from the pilot control and generate, as a function of the pilot input, command datum. A system includes a flight controller, the flight controller including a computing device and configured to perform a voting algorithm, wherein performing the voting algorithm includes determining that the sensor is an allowed sensor, wherein determining that the sensor is an allowed sensor includes determining that the command datum is an active datum, determining the command datum is an admissible datum, generating, as a function of the command datum and the allowed sensor, a control surface datum wherein the control surface datum is correlated to the pilot input.
Opening claim text (preview).
What is claimed is: 1. A system for fly-by-wire flight control configured for use in an electric aircraft, the system comprising: a flight controller, wherein the flight controller is configured to perform a voting algorithm, and wherein performing the voting algorithm further comprises: receiving at least a command datum from at least a sensor; determining that the at least a command datum is an active datum; determining the at least a command datum is an admissible datum; and generating, as a function of the at least a command datum, the active datum, and the admissible datum, a control surface datum; and an actuator, wherein the actuator is configured to: receive the control surface datum from the flight controller; and move, as a function of the control surface datum, the control surface. 2. The system of claim 1 , wherein the voting algorithm is tuned by at least a machine-learning processes. 3. The system of claim 1 , wherein the at least a sensor is communicatively coupled to a pilot control remotely located outside the electric aircraft. 4. The system of claim 1 , wherein the actuator is coupled to the control surface. 5. The system of claim 1 , wherein the flight controller may be configured to determine that the at least a sensor is an allowed sensor. 6. The system of claim 1 , wherein the control surface includes an aileron. 7. The system of claim 1 , wherein the control surface includes a propulsor mechanically coupled to an electric aircraft. 8. The system of claim 1 , wherein the control surface datum includes the mean the at least a command datum that is determined to be the active datum and the admissible datum. 9. The system of claim 1 , wherein the flight controller is configured to ban the at least a sensor that transmitted a command datum determined to be not an active datum. 10. The system of claim 1 , wherein the flight controller is configured to ban the at least a sensor that transmitted a command datum determined to be not an admissible datum. 11. A method for fly-by-wire flight control configured for use in electric aircraft, the method comprising: receiving, at a flight controller, at least a command datum from at least a sensor; determining, at the flight controller, the at least a command datum is an active datum; determining, at the flight controller, the at least a command datum is an admissible datum; generating, as a function of the at least a command datum and the allowed sensor, a control surface datum wherein the control surface datum is correlated to the pilot input; receiving, at an actuator, the control surface datum from the flight controller; and moving, at the actuator, the control surface as a function of the control surface datum. 12. The method of claim 11 , wherein the voting algorithm is tuned by at least a machine-learning processes. 13. The method of claim 11 , wherein the at least a sensor is communicatively coupled to a pilot control remotely located outside the electric aircraft. 14. The method of claim 11 , wherein the actuator is coupled to the control surface. 15. The method of claim 11 , wherein the method further comprises, at the flight controller, determining the at least a sensor is an allowed sensor. 16. The method of claim 11 , wherein the control surface includes an aileron. 17. The method of claim 11 , wherein the control surface includes a propulsor mechanically coupled to an electric aircraft. 18. The method of claim 11 , wherein the control surface datum includes the mean the at least a command datum that is determined to be the active datum and the admissible datum. 19. The method of claim 11 , wherein the method further comprises banning, at the flight controller, the at least a sensor that transmitted a command datum determined to be not an active datum. 20. The method of claim 11 , wherein the method further comprises banning, at the flight controller, the at least a sensor that transmitted a command datum determined to be not an admissible datum.
Convolutional networks [CNN, ConvNet] · CPC title
Supervised learning · CPC title
using redundant signals or controls · CPC title
characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title
Fly-by-Wire · CPC title
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