Abstract

A collaborative multi-agent artificial intelligence (Al) control system configured to operatively integrate with a selectively-autonomous, selectively-collaborative low-cost attritable aircraft (SA-SC-LCAA) is disclosed. The Al control system generally comprises one or more large maneuvering neural network models and one or more a large language neural network models that work together collaboratively, including neural network models configured to: receive pilot speech, attention, and biometric data, as well as aircraft switchology and control system actuation data from the low-cost attritable aircraft; receive aircraft operational data and time-space-position-information (TSPI) from the low-cost attritable aircraft; receive TSPI data for friendly aircraft, neutral aircraft, and or threat aircraft; generate at least one candidate aircraft flight trajectory/ies to fly a selected tactic that includes techniques and procedures (TTP); select one trajectory from the at least one candidate aircraft flight trajectory/ies to fly the aircraft to fly a selected TTP; and operate the low-cost attritable aircraft in accordance with the selected trajectory and TTP. In the preferred embodiment, the neural network model comprises a maneuvering, tactics, techniques, and procedures large language model (MTTP-LMM). The selected flight trajectory comprises a sequence of one or more planned maneuvers for the low-cost attritable aircraft to complete a selected TTP. The selected TTP can be displayed graphically along with the flight trajectories of other aircraft in proximity to the low-cost attritable aircraft. A physical model and energy¬ maneuverability model of the low-cost attritable aircraft may be employed to generate the at least one candidate aircraft flight trajectory and TTP.

IPC Classes  ?

• G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
• G06N 3/08 - Learning methods
• G06N 20/00 - Machine learning
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G09B 19/16 - Control of vehicles or other craft
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog

Abstract

Aircraft modification system for transforming an aircraft (that includes an aircraft fuselage, aircraft flight control surfaces, and aircraft subsystems). The aircraft modification system includes and operatively integrates a plurality of systems that “inspirit” the aircraft with new, enhanced, and/or optimized capabilities. The aircraft modification system includes an aerial refueling system (ARS), a new refueling system, and interface subsystems. The interface subsystems include structural support or reinforcement components and operative interconnection systems. The aircraft modification system also: includes one or more aerial refueling (AR) apparatuses, a new center-of-gravity (CG) subsystem configured to control movement of fuel between, to and from a plurality of fuel tanks to manage and control aircraft center-of-gravity (CG), and a new flight control system (FCS) configured to control the aircraft flight control surfaces; and manages and controls the CG and the aircraft flight control surfaces in coordination for providing flight performance capabilities and selectively stabilized AR presentations.

IPC Classes  ?

• B64D 39/04 - Adaptations of hose construction
• G09B 19/16 - Control of vehicles or other craft

Abstract

A collaborative multi-agent artificial intelligence (AI) control system configured to operatively integrate with a selectively-autonomous, selectively-collaborative low-cost attritable aircraft (SA-SC-LCAA) is disclosed. The AI control system generally comprises one or more large maneuvering neural network models and one or more a large language neural network models that work together collaboratively, including neural network models configured to: receive pilot speech, attention, and biometric data, as well as aircraft switchology and control system actuation data from the low-cost attritable aircraft; receive aircraft operational data and time-space-position-information (TSPI) from the low-cost attritable aircraft; receive TSPI data for friendly aircraft, neutral aircraft, and or threat aircraft; generate at least one candidate aircraft flight trajectory/ies to fly a selected tactic that includes techniques and procedures (TTP); select one trajectory from the at least one candidate aircraft flight trajectory/ies to fly the aircraft to fly a selected TTP; and operate the low-cost attritable aircraft in accordance with the selected trajectory and TTP. In the preferred embodiment, the neural network model comprises a maneuvering, tactics, techniques, and procedures large language model (MTTP-LMM). The selected flight trajectory comprises a sequence of one or more planned maneuvers for the low-cost attritable aircraft to complete a selected TTP. The selected TTP can be displayed graphically along with the flight trajectories of other aircraft in proximity to the low-cost attritable aircraft. A physical model and energy-maneuverability model of the low-cost attritable aircraft may be employed to generate the at least one candidate aircraft flight trajectory and TTP.

IPC Classes  ?

• G05D 1/46 - Control of position or course in three dimensions
• G05D 101/15 - Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
• G05D 111/10 - Optical signals

Abstract

Aircraft modification system for transforming an aircraft (that includes an aircraft fuselage, aircraft flight control surfaces, and aircraft subsystems). The aircraft modification system includes an aerial refueling system (ARS), a refueling system(s) manager, interface subsystems (including multi-dimensional/adjustable structural supports and operative interconnection systems) that secure the ARS to a fuselage subsystem and operatively interface the ARS with the aircraft systems, the refueling system(s) manager, and other systems of the aircraft modification system. The aircraft modification system includes: one or more aerial refueling (AR) apparatuses; a center-of-gravity (CG) subsystem for controlling fuel movement between and to and from a plurality of fuel tanks to manage and control (adjust) the aircraft CG; a flight control system (FCS) for controlling aircraft flight control surfaces; and CG-FCS interconnect subsystems that coordinate control of the aircraft CG and control of the aircraft flight control surfaces for improving flight performance and for selectively stabilizing AR presentations.

IPC Classes  ?

• B64D 39/00 - Refuelling during flight
• G09B 19/16 - Control of vehicles or other craft

Abstract

Aircraft performance modification system including one or more processor systems operatively integrated with one or more components of the aircraft. The one or more processor systems is/are configured to receive aircraft flight performance and systems parameters, and to automatically or autonomously, responsive to the aircraft flight performance and systems parameters, perform actions comprising: (a) managing aircraft systems and aircraft performance modification system settings to control CG control systems settings, flight control settings, engine(s) power settings, and combined effects of these systems for manipulating forward, aft, or balanced pitching forces about the lateral axis of the aircraft to reduce, increase, or adjust drag, maneuverability, stability, and controllability, and (b) providing aircraft CG control, flight control, and engine(s) power control to ensure the aircraft operates in stable flight configurations that manage the risk of the aircraft uncontrollably transitioning to a stalled condition.

IPC Classes  ?

• B64D 39/00 - Refuelling during flight
• G09B 19/16 - Control of vehicles or other craft

Abstract

Tools, techniques, systems, methods and configurations are provided for modifying Low-Cost Attritable Aircraft (LCAA) to fly missions as functional, safe and effective aerial refueling (AR) tankers. The LCAA may be modified with a Selectively-Autonomous Aerial Refueling (SAAR) system, which can be installed in the LCAA to assist pilots and operators with actual AR procedures, to assist pilots and operators who are training to learn how to perform AR procedures, and/or to provide communication nodes in the form of a tactical edge network which is part of a common operational system. For AR training missions, LCAAs may be outfitted with a SAAR system including an aerial refueling store (ARS) buddy pod, such as for situations where fuel will not be offloaded to receiver aircraft.

IPC Classes  ?

• B64D 39/00 - Refuelling during flight
• G09B 19/16 - Control of vehicles or other craft

Abstract

Tools, techniques, systems, methods and configurations are provided for modifying Low-Cost Attritable Aircraft (LCAA) to fly missions as functional, safe and effective aerial refueling (AR) tankers. The LCAA may be modified with a Selectively-Autonomous Aerial Refueling (SAAR) system, which can be installed in the LCAA to assist pilots and operators with actual AR procedures, to assist pilots and operators who are training to learn how to perform AR procedures, and/or to provide communication nodes in the form of a tactical edge network which is part of a common operational system. For AR training missions, LCAAs may be outfitted with a SAAR system including an aerial refueling store (ARS) buddy pod, such as for situations where fuel will not be offloaded to receiver aircraft.

IPC Classes  ?

• B64D 39/04 - Adaptations of hose construction
• G09B 19/16 - Control of vehicles or other craft