Invention Grant
- Patent Title: Neural network system whose training is based on a combination of model and flight information for estimation of aircraft air data
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Application No.: US16754999Application Date: 2017-10-11
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Publication No.: US11747360B2Publication Date: 2023-09-05
- Inventor: Bruno Javiel Carvalho , Gustavo José Zambrano , Leandro Fernandes Bergamo , Juliano de Melo Lustosa
- Applicant: EMBRAER S.A.
- Applicant Address: BR São José dos Campos
- Assignee: Embraer S.A.
- Current Assignee: Embraer S.A.
- Current Assignee Address: BR São José dos Campos
- Agency: Nixon & Vanderhye P.C.
- International Application: PCT/BR2017/000121 2017.10.11
- International Announcement: WO2019/071327A 2019.04.18
- Date entered country: 2020-04-09
- Main IPC: G01P13/02
- IPC: G01P13/02 ; G01C23/00 ; G01P5/14 ; G01P21/02 ; G05D1/10

Abstract:
Aircraft air data is estimated using a neural network trained to be independent of any signals from air data sensors whose values are based on air flow pressure measurements.
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