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Bioelectric Control of a 757 Class High Fidelity Aircraft SimulationThis paper presents results of a recent experiment in fine grain Electromyographic (EMG) signal recognition, We demonstrate bioelectric flight control of 757 class simulation aircraft landing at San Francisco International Airport. The physical instrumentality of a pilot control stick is not used. A pilot closes a fist in empty air and performs control movements which are captured by a dry electrode array on the arm, analyzed and routed through a flight director permitting full pilot outer loop control of the simulation. A Vision Dome immersive display is used to create a VR world for the aircraft body mechanics and flight changes to pilot movements. Inner loop surfaces and differential aircraft thrust is controlled using a hybrid neural network architecture that combines a damage adaptive controller (Jorgensen 1998, Totah 1998) with a propulsion only based control system (Bull & Kaneshige 1997). Thus the 757 aircraft is not only being flown bioelectrically at the pilot level but also demonstrates damage adaptive neural network control permitting adaptation to severe changes in the physical flight characteristics of the aircraft at the inner loop level. To compensate for accident scenarios, the aircraft uses remaining control surface authority and differential thrust from the engines. To the best of our knowledge this is the first time real time bioelectric fine-grained control, differential thrust based control, and neural network damage adaptive control have been integrated into a single flight demonstration. The paper describes the EMG pattern recognition system and the bioelectric pattern recognition methodology.
Document ID
20010083844
Document Type
Preprint (Draft being sent to journal)
Authors
Jorgensen, Charles
(NASA Ames Research Center Moffett Field, CA United States)
Wheeler, Kevin
(NASA Ames Research Center Moffett Field, CA United States)
Stepniewski, Slawomir
(RECOM Technologies, Inc. Moffett Field, CA United States)
Norvig, Peter
Date Acquired
September 7, 2013
Publication Date
January 11, 2000
Subject Category
Computer Programming And Software
Meeting Information
Meeting: WAC 2000
Location: Maui, HI
Country: United States
Start Date: June 11, 2000
End Date: June 16, 2000
Funding Number(s)
PROJECT: RTOP 519-30-12
CONTRACT_GRANT: NAS2-14217
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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