UAV Aerial Imagery & Autopilot Integration Arick Reed - - PowerPoint PPT Presentation

uav aerial imagery amp autopilot integration
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UAV Aerial Imagery & Autopilot Integration Arick Reed - - PowerPoint PPT Presentation

UAV Aerial Imagery & Autopilot Integration Arick Reed Abraham-ME Spencer Hanson - ME Tim Fratangelo - CE Alex Klymkow - EE Aaron Wilbee - EE Agenda Project Background Desired State Obstacles Project Plan Team


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SLIDE 1

UAV Aerial Imagery & Autopilot Integration

Arick Reed Abraham-ME Spencer Hanson - ME Tim Fratangelo - CE Alex Klymkow - EE Aaron Wilbee - EE

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SLIDE 2

Agenda

  • Project Background
  • Desired State
  • Obstacles
  • Project Plan
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SLIDE 3

Team

Name Role Picture Arick Reed Abraham ME / Coordinator Spencer Hanson ME Tim Fratangelo CE Alex Klymkow EE Aaron Wilbee EE

Team

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SLIDE 4

Project Background

  • Imaging Science Department needs to take aerial Images

○ Currently done with full-scale aircraft ○ High cost, infrequent flights

  • UAVs significantly reduce operational costs and pilot risk

○ Proper configuration for successful operation by less- experienced users ○ Easy to source replacement parts

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SLIDE 5

Previous Projects

  • P13231

○ UAV Wireless Communication and Control

  • P11562

○ Modular Imaging System Frame and Stabilization

  • P11232

○ UAV Airframe C.1

  • P11231

○ UAV Image Integration and Performance

  • P10661

○ Image Calibration Device

  • P10236

○ Configurable control platform

  • P10232

○ UAV Airframe C

  • P10231

○ UAV Telemetry

  • P09561

○ Visible Spectrum Imaging System

  • P09233

○ Airframe Measurement and Aircraft Controls

  • P09232

○ UAV Airframe B

  • P09231

○ UAV Airframe A

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SLIDE 6

Current State

  • Imaging Science still using hired aircraft for aerial photography.
  • Previous efforts have produced discrete systems.
  • Airborne imaging system previously developed, likely antiquated.
  • Existing payload-bearing aircraft requires more testing.

No fully integrated UAV imaging platform exists

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SLIDE 7

Desired State

  • Full integration between airframe, autopilot, and imaging systems.
  • A UAV capable of autonomous waypoint-directed flight.
  • Integrated imaging system capable of taking and saving photos
  • Real-time control through the ground station.
  • On-demand transfer of control to a human pilot.
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SLIDE 8

Stakeholders

  • Dr. Jason Kolodziej
  • RIT Imaging Science Department
  • MSD Team
  • Innocent Bystanders
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SLIDE 9

Priority Maximum Energy Output Aircraft Powerplant Sufficient Stability Functional Autopilot Functional Communication Link Camera Module 1 Autopilot follow Dynamically updating Waypoints 9 x 2 FAA Compliance 9 x x 3 Meaningful Mission Time 9 x x 4 GPS Triggered Image Capture 9 x x 5 Functional Aircraft 9 x x x 6 Ground Station Update Waypoints 3 x 7 Receive Telemetry and display 3 x 8 Ground Station Image Capture 3 x 9 Record Inertial Position 3 x 10 Modular Camera Mount 3 x Measure KWH KW BFT BFT BFT BFT

House of Quality

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SLIDE 10

Objectives

  • Stable reusable aircraft
  • Control strategy/algorithms
  • Interchangeable camera equipment
  • Accurate information recording
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SLIDE 11

Deliverables

  • Functional autonomous small (test) aircraft
  • Functional payload bearing (X-4) aircraft with:

○ Integrated autopilot ○ Integrated imaging hardware payload

  • Ground station software
  • Autopilot software
  • Image capture software
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SLIDE 12

Assumptions

  • The team has adequate ability to complete the project.
  • Previous projects are functional but require testing
  • Budget $1000
  • Replacement of camera equipment
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SLIDE 13

Risks

  • Any flight failure will probably require at least some aircraft repair,

taking multiple days.

  • Pilot availability: There are no pilots on the team skilled enough to

fly the large aircraft for testing.

  • Communication failure for manual control
  • Safety of fragile parts (camera, micro controller)
  • Part replacement lead time.
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SLIDE 14

Benchmarking

  • Precedence with ArduPilot™, popular with amateurs
  • Previous Senior Design team successes/failures
  • Existing technology and expertise from model aviation
  • Comparison to professional technology neither practical nor

possible.

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SLIDE 15

Next Steps

  • Prepare the small (test) airframe
  • Confirm the state of the imaging equipment
  • Determine specifications for next iteration of imaging equipment
  • Validate design of the UAV X-4’s control surfaces against

theoretical models

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SLIDE 16

Questions