9.0 SUBCOMMITTEE C – AVIONICS AND SYSTEM INEGRATION

9.1 “Next Generation Air Transportation System”, Dr. Wilson Felder, Director, FAA Technical Center

9.2 “RAVEN: A Rapid Prototyping Facility for Advanced Flight Control”, Jonathan How, MIT

This talk will discuss a new flight test facility known as the Real-time indoor Autonomous Vehicle test ENvironment (RAVEN). RAVEN was developed by the Aerospace Controls Laboratory (ACL) at MIT to promote the rapid prototyping of UAS planning and control technologies. The facility allows the use of unmodified commercially available model aircraft for autonomous flight testing. I will discuss the facility and present experimental results of a fixed wing UA performing several hover tests, transition maneuvers, and perch landings. The talk will also illustrate how RAVEN is being used to investigate related work on air combat with UAs and autonomous aerobatics.

9.3 “Micro-Air-Vehicles for Flying in Near-Earth Environments”, Paul Oh, Drexel University

Micro air vehicles are a new class of bird-sized aerial platforms. Called MAVs, the envisioned purpose is to have them act as robotic front observers that provide situational awareness in near-Earth environments like forests, buildings, caves and tunnels. Unlike contemporary miniature fixed-wing vehicles that fly in open air spaces, MAVs will be agile vehicles that can fly slowly and safely in cluttered environments. Making such airframes robotic demands sensor suites that can autonomously navigate the vehicle. MAVs have severe payload constraints, demanding the sensor suite be small, light and power-conscious. Additionally GPS, lighting and communications are often degraded in

near-earth environment. As such, the sensor suite should operate in varied lighting and avoid distributed wireless computing.

Flying insects, like honeybees, do not possess sophisticated visual or inertial measurements systems. Instead they avoid obstacles, regulate speed, compensate for wind gust, hover and follow terrain using optic flow. This sensing modality is simply the apparent visual motion experienced by an insect as it travels through the environment. Objects that are close will tend to appear to move faster than objects that are far away, and objects with which the insect are on a collision course will tend to appear as if they are rapidly increasing in size. Optic flow sensors, like those found in a computer mouse, are readily available. They often weigh less than 10-grams, are coin-sized, draw milliamps and can interface with embedded microprocessors.

This talk details proof-of-concept results applying optic flow sensors on MAV test beds. These 20-inch wingspan, 30-gram fixed-wing vehicles fly indoors at speeds as slow as 2 m/s in areas as small as 10x10 square meters. Demonstrations of autonomous avoid collisions, altitude regulation, take off and landing are presented. The results are promising and suggest broad impacts to all classes of unmanned aerial vehicles including

lighter-than-air blimps, rotary- and flapping-wing vehicles.