Textron Innovations Inc.

Bell Helicopter Textron Inc.

Michael Kevin McNair

Frank B Stamps

John Richard Mccullough

Kip Gregory Campbell

Matthew David Holvey

Brent Chadwick Ross

Joseph Scott Drennan

Brett Rodney Zimmerman

Andrew Vincent Louis

Carey Cannon

Juan Li

Christopher John Stroncek

Mark David Stoufflet

A heliport docking system provides automated transport, fueling, maintenance, and logistical management of VTOLs. The heliport docking system can include a plurality of helipads that can be autonomously transported from area-to-area to assist in the logistics of heliport management and control. The helipad system can include a surface on which a VTOL can land and a controller that can perform functions related to routing, maintenance, object detection, and transport, among others. The helipad system can releasably secure the VTOL to the helipad and transport the VTOL to different areas of the heliport system. The helipad system can also fuel the VTOL by providing, electricity, combustible fuel, or other suitable energy source, and perform a maintenance check of the VTOL and create maintenance crew of any VTOL irregularities.

Heliport docking system

One embodiment includes an electrical tanker aircraft for in-flight recharging a worker aircraft, comprising: a charge source; an umbilical to engage an in-flight charge recipient aircraft; and control logic to determine that the umbilical has engaged the charge recipient aircraft, and to transfer charge until a termination condition is met.

In-flight recharging of aerial electric vehicles

A method of autonomous flight path planning for a group of cooperating aircraft operating in formation includes: receiving information related to obstructions that interfere with an aircraft of the group continuing on a flight path; calculating a velocity obstacle for each obstruction; calculating a plurality of candidate velocities outside of the velocity obstacles; selecting a first velocity from the candidate velocities and operating a leader of the group at the first velocity; calculating, based upon keeping a follower aircraft in formation, a second velocity for the follower; determining whether the second velocity is inside one of the velocity obstacles; operating the follower at the second velocity when the second velocity is outside the velocity obstacles; and calculating a revised velocity that is outside of the velocity obstacles and operating the follower at the revised velocity when the second velocity is inside one of the velocity obstacles.

Path planning for cooperated air vehicles

A propulsion assembly for a rotorcraft includes a blade assembly, a drive shaft coupled to the blade assembly and an electric motor coupled to the drive shaft and operable to provide rotational energy to the drive shaft to rotate the blade assembly. The propulsion assembly includes a landing assistance turbine coupled to the drive shaft and operable to selectively provide rotational energy to the drive shaft during an underpowered descent to rotate the blade assembly and provide upward thrust, thereby reducing a descent rate of the rotorcraft prior to landing.

Assisted landing systems for rotorcraft

A hierarchical integrated trust assessment system features nested subsystems. Each subsystem utilizes a trust module for validating input data to the subsystem, validating output data from the subsystem, and validating the operation of the subsystem itself. The trust module verifies the format, the authenticity, the content of the inputs to the subsystem. The scope of each trust module is minimized to the associated subsystem. Minimizing the scope of the trust module results in increased reliability of the trust module's decisions.

Hierarchical integrated trust assessment

A method of operating a targeting system simulation tool (TSST) includes providing a TSST configured to receive an obstacle/effect parameterization, a simulation parameterization, a sensor parameterization, an aircraft parameterization, and an autonomy parameterization. The method further includes receiving by the TSST, at least one of each of an obstacle/effect parameterization and a simulation parameterization. The method further includes receiving by the TSST, either (1) a sensor parameterization or (2) an aircraft parameterization. The method further includes operating the TSST to apply the provided ones of the obstacle/effect parameterization, simulation parameterization, sensor parameterization, and aircraft parameterization to generate a value, value range, or value limit for the unprovided aircraft parameterization or unprovided sensor parameterization.

Targeting system and simulator therefor

A decentralized trust assessment system, comprising a neural network, a trust module, and a local subsystem, wherein the trust module controls whether a plurality of inputs to the local subsystem are trustworthy. The decentralized trust assessment system provides rotorcraft and tiltrotor aircraft with airborne systems able to detect bad and spoofed data from a wide variety of data streams.

Decentralized trust assessment

In one embodiment, a method is performed by a computer system in an aircraft. The method includes receiving an advance indication of a take-off or landing event to be executed by the aircraft in proximity to a landing area such that the landing area includes an arrangement of a plurality of emitters of electromagnetic radiation. The method further includes, responsive to the receiving, detecting, via a sensor in communication with the computer system, emission states of at least some of the plurality of emitters. In addition, the method includes transforming the detected emission states into an instruction set for the take-off or landing event. The method also includes initiating monitoring of the aircraft relative to the instruction set as the aircraft executes the take-off or landing event in proximity to the landing area.

Growing community of inventors

Weatherford, TX, United States of America

Michael Kevin McNair