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engineering design day 2012 - College of Engineering @ The ...

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Autopilot integrAtion on Micro Air Vehicles<br />

Interdisciplinary <strong>Engineering</strong> Design Program<br />

clAss<br />

ENGR 498A/B<br />

sponsor<br />

Dr. Jonathan Sprinkle, ECE<br />

Dr. Sergey Shkarayev, AME<br />

sponsor Mentor/ADVisor<br />

Dr. Jonathan Sprinkle, ECE<br />

Dr. Sergey Shkarayev, AME<br />

project Mentor<br />

Dr. Patrick Marcus<br />

teAM MeMBers<br />

Jared Hainsworth (AE/ME)<br />

Kyle Merry (Physics/CoE)<br />

Daniel Schucker (CoE)<br />

Chris Wozny (CoE/CSC)<br />

AE = Aerospace <strong>Engineering</strong><br />

CoE = Computer <strong>Engineering</strong><br />

CSC = Computer Science<br />

ME = Mechanical <strong>Engineering</strong><br />

teAM 4938: project suMMAry<br />

<strong>The</strong> project involved the integration <strong>of</strong> various<br />

specialized autopilots into micro air vehicles (MAV).<br />

<strong>The</strong> open-source Paparazzi and GINA autopilot<br />

provide for autonomous flight <strong>of</strong> the MAV using<br />

control theory and various sensors to pilot the<br />

aircraft without human interaction. <strong>The</strong> autopilot<br />

team integrated the two separate autopilots into<br />

the airframes and optimized the flight and navigation<br />

systems while an aerospace team <strong>design</strong>ed two airframes: one for outdoor flight<br />

and one for indoor. <strong>The</strong>se 3D printed airframes operate using servos, elevons, rudder,<br />

electronic speed controller, and two contra-rotating motors. <strong>The</strong>se can be interfaced<br />

with a remote control to fly the plane in a stability augmented mode in addition to fully<br />

autonomous flight. <strong>The</strong> autopilot controls the elevons, rudder, and speed controller.<br />

<strong>The</strong> system uses GPS for location estimation and IMU for the attitude and heading<br />

reference system to pilot the aircraft. For one autopilot, the data is processed directly on<br />

the plane using an ARM Cortex microcontroller. For the other, the controls computation<br />

is done on the base station and then transmitted back to the aircraft. A modem allows<br />

for communication between the autopilot and the ground control station (GCS). <strong>The</strong> GCS<br />

s<strong>of</strong>tware provides the operator with the ability to make and modify flight plans and monitor<br />

the MAV’s flight path in real time. Also, a video system on the aircraft allows the operator<br />

a view from the MAV for intelligence, surveillance, and reconnaissance in real time. <strong>The</strong> true<br />

benefit <strong>of</strong> this project is that the autopilot is relatively inexpensive compared to commercial<br />

autopilots; however, it functions as accurately and as efficiently, if not more so.<br />

43

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