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WashUAV Helicopter

WashUAV Helicopter. Sean Reynolds March 23, 2009. Blade CP Pro2. Arduino Pro Mini. IMU 5 Degrees of Freedom. Roving Networks RN-41. Compass Module - HMC6352. Ambitious Goals. Stable Hover Flight Obstacle Avoidance. Stable Hover. Data collection for Neural Network

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WashUAV Helicopter

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  1. WashUAV Helicopter Sean Reynolds March 23, 2009

  2. Blade CP Pro2

  3. Arduino Pro Mini

  4. IMU 5 Degrees of Freedom

  5. Roving Networks RN-41

  6. Compass Module - HMC6352

  7. Ambitious Goals • Stable Hover • Flight • Obstacle Avoidance

  8. Stable Hover • Data collection for Neural Network • Data computation and refinement of Neural Network • Testing Neural Network on Helicopter

  9. NN Design Architecture • 3 Accelerometer: X,Y,Z • 2 Gyro: X,Y • 1 Compass Heading • Throttle • Aileron • Elevator • Rudder

  10. Obstacles • Ground effect and takeoff vs. in flight aerodynamics • Teaching myself to fly the new helicopter • Controlling the helicopter enough to hover indoors.

  11. Prior Work • Stanford Helicopter Team Project • Australia ANN Autonomous Hover • Full Scale Helicopter using Neural Network • International Aerial Robotics Competition, $10,000 • WashUAV progress.

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