Simulator Control via Wireless Data Glove
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abstract
Aerial vehicles have always required numerous hours of pilot training to obtain a sufficient level of competence. Most people can understand the pitching, rolling, and yawing motions of an airplane by simply watching them fly. However, translating these motions into control stick, throttle, and rudder pedal movements is much less intuitive. This paper overviews the development of a new glove-based input device, utilizing a novel vision-based position sensing system called VisNav. The glove interface is designed to enable the average person to command and fly an aircraft with minimal training and experience. This approach is an intuitive alternative to the typical joystick piloting of unmanned aerial vehicles. The VisNav system senses gestures from the operators hand via optical beacons embedded in the glove, and translates these motions into commanded vehicle states. An optimal nonzero setpoint controller is developed to translate the glove commands into commanded aircraft motion. The glove is then interfaced with a real time engineering flight simulator, and tested at various flight regimes. Results show that the glove-based interface provided an accurate and intuitive alternative to traditional stick and rudder piloting. 2003 by Brian Wood, Yuanyuan Ding and John Valasek.
name of conference
AIAA Modeling and Simulation Technologies Conference and Exhibit
