FR3101703B1 - Apprentissage automatique pour systeme de mission - Google Patents

Apprentissage automatique pour systeme de mission Download PDF

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Publication number
FR3101703B1
FR3101703B1 FR1910955A FR1910955A FR3101703B1 FR 3101703 B1 FR3101703 B1 FR 3101703B1 FR 1910955 A FR1910955 A FR 1910955A FR 1910955 A FR1910955 A FR 1910955A FR 3101703 B1 FR3101703 B1 FR 3101703B1
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France
Prior art keywords
mission
trajectories
determined
methods
avionic
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Active
Application number
FR1910955A
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English (en)
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FR3101703A1 (fr
Inventor
Ludovic Billault
François Coulmeau
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Thales SA
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Thales SA
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Priority to FR1910955A priority Critical patent/FR3101703B1/fr
Priority to US17/039,055 priority patent/US20210103295A1/en
Publication of FR3101703A1 publication Critical patent/FR3101703A1/fr
Application granted granted Critical
Publication of FR3101703B1 publication Critical patent/FR3101703B1/fr
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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0043—Traffic management of multiple aircrafts from the ground
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/043—Architecture, e.g. interconnection topology based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/086—Learning methods using evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003—Flight plan management
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003—Flight plan management
    • G08G5/0034—Assembly of a flight plan

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Physiology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)
  • Feedback Control In General (AREA)

Abstract

Le document concerne des procédés et des dispositifs pour un apprentissage automatique appliqué aux trajectoires de mission d’un aéronef. Des données d’apprentissage comprennent des trajectoires de mission déterminées par un calculateur de mission MMS et les trajectoires avioniques correspondantes, telles que déterminées par des systèmes avioniques certifiés. Des développements décrivent notamment des étapes d’évaluation, e.g. l’utilisation de fonction de coût ou de score de mission, l’optimisation des trajectoires de mission par des méthodes évolutionnistes notamment génétiques, l’utilisation de logique floue, l’affichage de résultats intermédiaires ou autres objets à des fins explicatives. Des aspects de logiciel et de matériel (e.g. réseaux de neurones) sont décrits. Figure pour l’abrégé : Fig. 1…..
FR1910955A 2019-10-03 2019-10-03 Apprentissage automatique pour systeme de mission Active FR3101703B1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
FR1910955A FR3101703B1 (fr) 2019-10-03 2019-10-03 Apprentissage automatique pour systeme de mission
US17/039,055 US20210103295A1 (en) 2019-10-03 2020-09-30 Machine learning for mission system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1910955A FR3101703B1 (fr) 2019-10-03 2019-10-03 Apprentissage automatique pour systeme de mission
FR1910955 2019-10-03

Publications (2)

Publication Number Publication Date
FR3101703A1 FR3101703A1 (fr) 2021-04-09
FR3101703B1 true FR3101703B1 (fr) 2021-11-26

Family

ID=70008585

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1910955A Active FR3101703B1 (fr) 2019-10-03 2019-10-03 Apprentissage automatique pour systeme de mission

Country Status (2)

Country Link
US (1) US20210103295A1 (fr)
FR (1) FR3101703B1 (fr)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus
CN113192636B (zh) * 2021-04-16 2024-01-05 中国航天科工集团第二研究院 一种飞行任务负荷评估方法及系统
JP7055926B1 (ja) * 2021-08-03 2022-04-18 Kddi株式会社 飛行計画生成装置及び飛行計画生成方法
FR3127616B1 (fr) * 2021-09-27 2024-03-22 Thales Sa Procédé de gestion d’évitement aérien
US20230139354A1 (en) * 2021-10-30 2023-05-04 Beta Air, Llc Systems and methods for hybrid autonomous control of an electric aircraft
CN113985924B (zh) * 2021-12-27 2022-04-08 中国科学院自动化研究所 飞行器控制方法、装置、设备及计算机可读存储介质
CN114611410B (zh) * 2022-03-19 2024-04-16 西安电子科技大学 基于遗传算法的无人机信息物理系统参数异常测试方法
WO2023187164A1 (fr) * 2022-03-31 2023-10-05 Phinx Dispositif et procédé de détection d'une condition de vol anormale d'un aéronef

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR1302628A (fr) 1961-07-21 1962-08-31 Procédé de séchage rapide de bois de sciage ou autres et séchoir conforme à ce procédé
FR1402042A (fr) 1964-04-23 1965-06-11 Hennequin & Cie Ets Dispositif de couplage de résistances électriques notamment pour le démarrage et le réglage de la vitesse des moteurs électriques asynchrones
EP0390563A3 (fr) * 1989-03-31 1992-12-02 Matsushita Electric Industrial Co., Ltd. Dispositif d'inférence floue multi-étage
US8234068B1 (en) * 2009-01-15 2012-07-31 Rockwell Collins, Inc. System, module, and method of constructing a flight path used by an avionics system
JP6140229B2 (ja) * 2015-08-28 2017-05-31 ファナック株式会社 電動機の予測寿命を学習する機械学習装置および方法ならびに該機械学習装置を備えた寿命予測装置および電動機システム
US10157045B2 (en) * 2016-11-17 2018-12-18 The Mathworks, Inc. Systems and methods for automatically generating code for deep learning systems
FR3067803B1 (fr) * 2017-06-16 2020-05-22 Thales Synchronisation d'un systeme dual avionique et non-avionique
EP3525136A1 (fr) * 2018-02-08 2019-08-14 Prowler.io Limited Système distribué d'apprentissage par machine
US11086317B2 (en) * 2018-03-30 2021-08-10 Intel Corporation Emotional adaptive driving policies for automated driving vehicles

Also Published As

Publication number Publication date
US20210103295A1 (en) 2021-04-08
FR3101703A1 (fr) 2021-04-09

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