首页|Patent Application Titled "Systems And Methods For Flight Control For An Electri c Aircraft" Published Online (USPTO 20240061445)

Patent Application Titled "Systems And Methods For Flight Control For An Electri c Aircraft" Published Online (USPTO 20240061445)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Freiheit, Collin (Burlington, VT, US); Moy, Nicholas (SOUTH BURLINGTON, VT , US), filed on August 18, 2022, was made available online on February 22, 2024. The assignee for this patent application is Beta Air LLC (South Burlington, Verm ont, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Automated control is indispensable in operating an electric v ehicle. A flight control system is paramount in operating an electric vehicle sa fely. It is important for a flight control system to allow a pilot to control an aircraft in an intuitive manner." In addition to obtaining background information on this patent application, News Rx editors also obtained the inventors' summary information for this patent appl ication: "In an aspect a flight control system for an electric aircraft includes a propulsor configured to generate lift to propel an electric aircraft, a pilot input mechanically coupled to the electric aircraft, a sensor communicatively c onnected to the pilot input, wherein the sensor is configured to detect an input datum as a function of the pilot input and transmit the input datum to a flight controller. The system further including a flight controller communicatively co nnected to the sensor, the flight controller configured to determine a command d atum to control the propulsor as a function of the input datum and an input mapp ing and change the input mapping as a function of a phase of flight.

Beta Air LLCBusinessCyborgsEmergin g TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)