UAV Aerial Imagery & Autopilot Integration Arick Reed - - PowerPoint PPT Presentation
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
Agenda
- Project Background
- Desired State
- Obstacles
- Project Plan
Team
Name Role Picture Arick Reed Abraham ME / Coordinator Spencer Hanson ME Tim Fratangelo CE Alex Klymkow EE Aaron Wilbee EE
Team
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
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
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
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.
Stakeholders
- Dr. Jason Kolodziej
- RIT Imaging Science Department
- MSD Team
- Innocent Bystanders
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
Objectives
- Stable reusable aircraft
- Control strategy/algorithms
- Interchangeable camera equipment
- Accurate information recording
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
Assumptions
- The team has adequate ability to complete the project.
- Previous projects are functional but require testing
- Budget $1000
- Replacement of camera equipment
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.
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.
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