Invention Grant
- Patent Title: Flight parameter prediction using neural networks
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Application No.: US15503982Application Date: 2015-08-14
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Publication No.: US10466266B2Publication Date: 2019-11-05
- Inventor: Travis Desell , Jim Higgins , Sophine Clachar
- Applicant: University of North Dakota
- Applicant Address: US ND Grand Forks
- Assignee: University of North Dakota
- Current Assignee: University of North Dakota
- Current Assignee Address: US ND Grand Forks
- Agency: Schwegman Lundberg & Woessner, P.A.
- International Application: PCT/US2015/045363 WO 20150814
- International Announcement: WO2016/025887 WO 20160218
- Main IPC: G01P13/02
- IPC: G01P13/02 ; G01C23/00 ; G01P5/00 ; B64D45/00 ; G06N3/08 ; G01C5/00 ; G05B23/02

Abstract:
A neural network including a set of input nodes may consume a respective stream of time-series data recorded during a flight of a flying aircraft, each stream of time-series data representing measurements of a respective flight parameter captured by a sensor at various time-steps of the flight. A training circuit set may train the neural network to predict a future measurement of the flight parameter. Training the neural network may include comparing a predictive value from the neural network to a measured value of a flight parameter and modifying structural components of the neural network to bring the predictive value closer to the measured value. A parameter acquisition circuit set may acquire time-series data of a flight parameter. A prediction circuit set may apply the time-series data to the trained neural network to predict the next measurement for the flight parameter in the time-series data.
Public/Granted literature
- US20180348250A1 FLIGHT PARAMETER PREDICTION USING NEURAL NETWORKS Public/Granted day:2018-12-06
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