US2023229174A1PendingUtilityA1

System and method for autonomous flight control with mode selection for an electric aircraft

Assignee: BETA AIR LLCPriority: Nov 10, 2021Filed: Jan 26, 2023Published: Jul 20, 2023
Est. expiryNov 10, 2041(~15.3 yrs left)· nominal 20-yr term from priority
Inventors:Herman Wiegman
G08G 5/74G08G 5/57G08G 5/55G08G 5/34G05D 1/0607G08G 5/76G08G 5/53G08G 5/21G08G 5/26G05D 1/106G06N 20/00G08G 5/0086G08G 5/0069G08G 5/0039G06N 3/0464G06N 3/08G06N 20/10G06N 5/01G06N 20/20
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Claims

Abstract

A system and method for autonomous flight control with mode selection an electric aircraft is illustrated. The system comprises an altitude-related sensor and a computing device. The altitude-related sensor is coupled to the electric aircraft and is configured to detect an altitude value. The computing device is communicatively connected to the altitude-related sensor and is configured to receive the altitude value from the altitude-related sensor, to determine a flight mode as a function of the altitude value and an altitude threshold, to determine an aircraft adjustment as a function of a determine flight mode, and to generate an autonomous function configured to enact the determined flight mode and an aircraft adjustment automatically.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system for autonomous flight control with mode selection, the system comprising:
 an altitude-related sensor coupled to an electric aircraft, wherein the altitude-related sensor is configured to detect an altitude value; and   a computing device communicatively connected to the altitude-related sensor, wherein the computing device is configured to:
 receive the altitude value from the altitude-related sensor; 
 determine a flight mode for the electric aircraft as a function of the altitude value and an altitude threshold, wherein the flight mode comprises a closed loop mode, wherein the flight mode further comprises an open loop mode that is determined based on a first range of altitudes; 
 determine an aircraft adjustment as a function of a determined flight mode; and 
 generate an autonomous function configured to enact the aircraft adjustment automatically. 
   
     
     
         2 . The system of  claim 1 , wherein the altitude-related sensor comprises a ground detection sensor. 
     
     
         3 . The system of  claim 1 , wherein the altitude-related sensor comprises a motion sensor. 
     
     
         4 . The system of  claim 1 , wherein the altitude-related sensor comprises a 3D scanner. 
     
     
         5 . The system of  claim 1 , wherein the computing device is further configured to provide instructions for performing an autonomous movement. 
     
     
         6 . The system of  claim 1 , wherein the closed loop mode is determined based on a second range of altitudes. 
     
     
         7 . The system of  claim 1 , wherein determining the aircraft adjustment further comprises:
 identifying a flight deviation; and   determining the aircraft adjustment as a function of the flight deviation and the determined flight mode.   
     
     
         8 . The system of  claim 7 , wherein identifying the flight deviation further comprises:
 receiving a flight plan; and   identifying the flight deviation as a function of the flight plan.   
     
     
         9 . The system of  claim 1 , wherein the autonomous function is generated as a function of the altitude value. 
     
     
         10 . The system of  claim 1 , wherein the autonomous function is generated as a function of an altitude threshold. 
     
     
         11 . The system of  claim 1 , wherein the autonomous function is generated as a function of an autonomous machine-learning model. 
     
     
         12 . A method for autonomous flight control with multiple modes in an electric aircraft, the method comprising:
 coupling an altitude-related sensor to the electric aircraft wherein the altitude-related sensor is configured to detect an altitude value;   communicatively connecting a computing device to the altitude-related sensor;   receiving, at the computing device, the altitude value from the altitude-related sensor;   determining, at the computing device, a flight mode for the electric aircraft as a function of the altitude value and an altitude threshold, wherein the flight mode comprises a closed loop mode, wherein the flight mode further comprises an open loop mode that is determined based on a first range of altitudes;   determining, at the computing device, an aircraft adjustment as a function of a determined flight mode; and   generating, at the computing device, an autonomous function configured to enact the determined flight mode and an aircraft adjustment automatically.   
     
     
         13 . The method of  claim 12 , wherein the altitude-related sensor comprises a ground detection sensor. 
     
     
         14 . The method of  claim 12 , wherein the altitude-related sensor comprises a motion sensor. 
     
     
         15 . The method of  claim 12 , wherein the altitude-related sensor comprises a 3D scanner. 
     
     
         16 . The method of  claim 12 , wherein the computing device is further configured to provide instructions for performing an autonomous movement. 
     
     
         17 . The method of  claim 12 , wherein the closed loop mode is determined based on a second range of altitudes. 
     
     
         18 . The method of  claim 12 , wherein determining the aircraft adjustment further comprises:
 identifying a flight deviation; and   determining the aircraft adjustment as a function of the flight deviation and the determined flight mode using a modification machine-learning model.   
     
     
         19 . The method of  claim 18 , wherein identifying the flight deviation further comprises:
 receiving a flight plan; and   identifying the flight deviation as a function of the flight plan.   
     
     
         20 . The method of  claim 12 , wherein the autonomous function is generated as a function of the altitude value. 
     
     
         21 . The method of  claim 12 , wherein the autonomous function is generated as a function of an altitude threshold. 
     
     
         22 . The method of  claim 12 , wherein the autonomous function is generated as a function of an autonomous machine-learning model.

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