System integration

Patent metadata

Field	Value
Publication number	US-2025190816-A1
Application number	US-202318841130-A
Country	US
Kind code	A1
Filing date	Feb 22, 2023
Priority date	Feb 24, 2022
Publication date	Jun 12, 2025
Grant date	—

Abstract

In an aircraft in flight, a feasibility display indicative of a feasibility of a weapon successfully engaging a target and/or a feasibility of a weapon successfully engaging the aircraft is generated The feasibility display may be generated by providing a database describing a performance envelope of the weapon, creating coefficients characteristic of that performance envelope using a generic algorithm, the creating including identifying a best candidate polynomial from a plurality, where variables thereof being some or all of a group of weapon or aircraft firing condition parameters, uploading, to the aircraft, the coefficients of the identified best candidate polynomial selecting by a reconstructor on the aircraft containing the same generic algorithm, coefficients according to conditions of the aircraft and the target if the aircraft and the target are within the performance envelope of the weapon, according to the conditions; and using the selected coefficients, generating the feasibility display.

First claim

1 . A computer-implemented method of generating, in an aircraft in flight, a feasibility display indicative of a feasibility of a weapon carried on the aircraft successfully engaging a target and/or a feasibility of a weapon carried on the target successfully engaging the aircraft, the method comprising:
providing a database describing a performance envelope of the weapon; creating coefficients characteristic of that performance envelope using a generic algorithm, wherein the generic algorithm has a form of a polynomial, the creating including identifying a best candidate polynomial from a plurality of candidate polynomials, variables of the plurality of candidate polynomials being some or all of a group of weapon or aircraft firing condition parameters; uploading, to the aircraft, the coefficients of the identified best candidate polynomial; and selecting, by a reconstructor on the aircraft containing the same generic algorithm, coefficients for the generic algorithm according to conditions of the aircraft and the target; and using the selected coefficients, generating, by the reconstructor, the feasibility display; wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm according to conditions of the aircraft and the target comprises selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target.

2 . The method according to claim 1 , further comprising inferring if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, using a trained machine learning model.

3 . The method according to claim 2 , further comprising training the machine learning model using training data of performance envelopes of respective weapons, according to conditions of respective aircraft and respective targets.

4 . The method according to claim 3 , further comprising labelling the training data based on if the respective aircraft and the respective target are within the performance envelope of the respective weapon, according to the conditions of the respective aircraft and the respective target.

5 . The method according to claim 3 , further comprising creating respective coefficients characteristic of the performance envelopes using the generic algorithm, the creating including identifying respective best candidate polynomials from a plurality of candidate polynomials, variables of the plurality of candidate polynomials being some or all of a group of respective weapon or aircraft firing condition parameters.

6 . The method according to claim 2 , wherein the inferring if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, using the trained machine learning model, comprises thresholding a result of the inferring.

7 . The method according to claim 1 , wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, comprises selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are currently within the performance envelope of the weapon.

8 . The method according to claim 1 , wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, comprises selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, only if the aircraft and the target are within the performance envelope of the weapon.

9 . The method according to claim 1 , wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, comprises selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, while the aircraft and the target are within the performance envelope of the weapon.

10 . The method according to claim 1 , wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, comprises repeatedly selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon.

11 . The method according to any-previous- claim 1 , wherein the selecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target, comprises deselecting, by the reconstructor on the aircraft containing the same generic algorithm, the coefficients for the generic algorithm, if the aircraft and the target are no longer within the performance envelope of the weapon.

12 . A system for generating in an aircraft in flight, a feasibility display indicative of a feasibility of a weapon carried on the aircraft successfully engaging a target and/or a feasibility of a weapon carried on the target successfully engaging the aircraft,
the system comprising:
a first computer; comprising a memory and a processor, the first computer being remote from the aircraft; and
a second computer, comprising a memory and a processor, the second computer being onboard the aircraft,
wherein the first computer is configured to:
provide a database describing a performance envelope of the weapon;
create coefficients characteristic of that performance envelope using a generic algorithm, wherein the generic algorithm has a form of a polynomial, the creating including identifying a best candidate polynomial from a plurality of candidate polynomials, variables of the plurality of candidate polynomials being some or all of a group of weapon or aircraft firing condition parameters; and
upload, to the second computer, the coefficients of the identified best candidate polynomial;
wherein the second computer is configured to:
select, by a reconstructor containing the same generic algorithm, coefficients for the generic algorithm according to conditions of the aircraft and the target; and
using the selected coefficients, generate, by the reconstructor, the feasibility display;
wherein the second computer is configured to select, by the reconstructor containing the same generic algorithm, the coefficients for the generic algorithm according to conditions of the aircraft and the target, if the aircraft and the target are within the performance envelope of the weapon, according to the conditions of the aircraft and the target.

13 . The system according to claim 12 , furth

Assignees

• Bae Systems Plc

Inventors

• Al-Ameri Monadl Abd Al-Abbas Mansour

Classifications

• G06F17/11

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G06N3/126 Primary

  Evolutionary algorithms, e.g. genetic algorithms or genetic programming · CPC title

• B64D45/00

  Aircraft indicators or protectors not otherwise provided for · CPC title

• G06N3/086

  using evolutionary algorithms, e.g. genetic algorithms or genetic programming · CPC title

• F41G9/002

  for guiding a craft to a correct firing position (for bombing control F41G9/02) · CPC title