Table of Contents

Design

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Plan

Project is current in Phase B-9.

Design Diagram: quadrotor_uav_arko.vsd

Phase A - Hardware Development

  1. Build a one motor/ESC setup, vary speed (Prototype with Arduino)
  2. Build a two motor/ESC setup, vary speed (Prototype with Arduino)
  3. Design board with new TI chip, sensors, power management, etc.
  4. Layout, mill and test proto board
  5. Build a two motor/ESC setup teeter-tot (Pitch) and wire up to proto board, test all hardware

Phase B - Modeling & Software Development

  1. Create library (or use Maple IDE)
  2. Create Kalman filter for all sensor inputs
  3. Create basic flight control/stabilization code
  4. Balance one degree of freedom very well (Pitch)
  5. Code Clean Up
  6. Build a rig to support two degrees of freedom (Pitch and Roll)
  7. Balance two degrees of freedom (Pitch and Roll) very well
  8. Modify rig to support three degrees of freedom (Pitch, Roll, Yaw)
  9. Balance and stabilize all three axis, add fourth degree of freedom (Altitude)
  10. Create wireless communication with computer/controller and command set

Phase C - Testing/Revising

  1. Test and improve board layout, filtering, design
  2. Design/CAD new chassis, mount and update model
  3. Add any extra features
  4. Test, Test, Test

Phase D - Package and Document

  1. Document all parts, assembly notes, and code
  2. Create cost summary and links to buy parts

Phase E - Complex Flight

  1. Follow flight path defined by user
  2. Do tricks?
  3. Stage 6 to CDM, separation at level 4

Phase F - ???

Phase G - Profit

Chassis and Hardware

  1. Build teetertot 1 degree of freedom (pitch)
    • Picture and build instructions coming soon..
  2. Build 2 degrees of freedom balance (pitch and roll)
  3. Build 3 degrees of freedom rig (pitch, roll, yaw)
  4. Build 6 degrees of freedom rig (hang on a string?, pitch, roll, yaw, long, lat, alt)

Board Layout and Schematic

State Estimation & Kalman Filter

To obtain a clean state estimation one must first filter the sensory inputs then produce a state model based on that.

  1. Create Kalman filter
    • Here's a simulation of a gyro and accelerometer filtered to give a clean angle estimation: kalman_gyro_acc.m
  2. Create state model

Control System

Pictures & Videos

First Stable Flight with APM!

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New Chassis!

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First flight test with APM

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New Frame!

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Fixed Kalman Filter Lag issues! Small setback, but the control should be much cleaner.

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New Mount! Finally Rotational X,Y,Z!

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New Chassis!! Finally have 4 rotors!

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New board in action!

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Balancing with a Kalman Filter and PID loop tuned!

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Balancing for the first time! (no Kalman Filter)

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Powered up the motors and able to read accelerometer!

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First time firing up the board and the code uploaded just fine! Test code works!

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Beginning code works! Able to read multiple ADC inputs and output multiple PWM outputs!

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Achievements Unlocked

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