By: Aurora Kiehl Scott Neuman Jeremie Snyder Dennis Vega Stephen Wess

Slides:



Advertisements
Similar presentations
Company Presentation.
Advertisements

Learning with Purpose Control Design and Implementation of a Small-Scale Autonomous Hovercraft Ryan Mackay Joshua Bevan Nicholas Lutz Mario Stamatiou University.
By: Evan Olson and Vishal Doshi. Introduction Autonomous Vehicles allow expanded capabilities over manned data collection Relatively low cost, versatile.
TCSP – Patent Liability Analysis. Project Overview Overall Objectives Create an Unmanned Aerial Vehicle (UAV) which is capable of the following: Create.
Autonomous Quadrocopter Proposal Brad Bergerhouse, Nelson Gaske, Austin Wenzel Dr. Malinowski.
Alex Funiciello Dan Graves Mike Hardbarger Jim Reepmeyer Brian Smaszcz May 14, 2010.
AT 209 Introduction to Civil Unmanned Aerial Systems (UAS)
Wireless Ethernet AT-Rover Group 1 Beau Cook, Barry Greenwood, Danny Martin, Matt Patella, Ian Petrie.
Oculus Superne. 2 System Definition Review Mission Objectives Concept of Operations Aircraft Concept Selection Payload Constraint Analysis and Diagrams.
Project Status Update II R09230: Open Architecture, Open Source Unmanned Aerial Vehicle for Imaging Systems A. Benjamin Wager (ME) B. Michael Skube (ME)
AEM 5333 Search and Surveillance. Mission Description Overhead surveillance and tracking Humans on foot Moving vehicles Onboard GPS transceiver Onboard.
April 26, Team Information Designation Ongo-03 Members Advisors Dr. J. Lamont, Prof. R. Patterson, Dr. Rajagopalan, Dr. J. Basart ClientSpace Systems.
Μ - CART Microprocessor – Controlled Aerial Robotics Team (Ongo03) An Ongoing Senior Design Project Department of Electrical and Computer Engineering Iowa.
Unmanned aerial systems, what they are and what is available? Professor Sandor M Veres University of Sheffield.
Sérgio Ronaldo Barros dos Santos, Cairo Lúcio Nascimento Júnior,
Xin Jin Zelun Tie Ranmin Chen Hang Xie. Outline  Project overview  Project-specific success criteria  Block diagram  Component selection rationale.
1.  The Autonomous Helicopter Navigation System 2010 is focused on developing a helicopter system capable of autonomous control, navigation and localising.
Sérgio Ronaldo Barros dos Santos (ITA-Brazil)
AEM 5333 UAV Search and Surveillance. Mission Description Overhead surveillance and tracking – Humans on foot – Moving vehicles Onboard GPS transceiver.
Automated Bridge Scour Inspection FSU/FAMU College of Engineering Team 7 Proposal 10/27/2010.
Hardware Overview Autopilot Control Board- Serves as common platform for other components and has autopilot code and flight plans Battery- Powers the.
Autonomous Air & Ground Surveillance Unit Objectives, Preliminary Specifications, and Option Analysis.
Design Team # 4 Design of low cost flight computer for unmanned aerial vehicles Status Report # 4 Ryan Morlino Chris Landeros Sylvester Meighan Stephen.
IEEE Robotics - Requirements Presentation Presented by Jason Abbett and Devon Berry.
UK Aerial Robotics Team UK IDEA Laboratory Workforce Development: The UK Aerial Robotics Team and the PAX River Student UAV Competition Dale McClure (Matt.
Final Design Presentation AUVSI 2013 Student Unmanned Air Systems Competition Team 6: Autonomous Ariel Vehicle Robert Woodruff Matthew Yasensky Cristopher.
P15462 – TETHERED WIND ENERGY PLANE Devin Bunce Matthew Kennedy Matthew Maginn Carl Stahoviak Matthew Zebert.
Caroline Ruth Hill Kalab Holcomb Layne Johnson Thomas McCalla
X-Pilot: Autopilot Solutions C. Edwards, J. Lasseigne, W. Overstreet, B. Penland Project Description: The X-Pilot: Autopilot Solutions project is developing.
Design Team # 4 Design of low cost flight computer for unmanned aerial vehicles Status Report # 5 Ryan Morlino Chris Landeros Sylvester Meighan Stephen.
Final Semester 2 Presentation: April 24, Joshua Lasseigne: Team Lead and Autopilot Programming Christopher Edwards: AGL Subsystem and Website Maintenance.
Team 3 Ashwin Shankar Upsham Dawra Samit Sura Joe Katz.
Ted Hench Electronics. Our goals  Meet minimum contest guidelines with ability to expand  Stay within budget Balance the capability of our team with.
Abstract Each July, the Association for Unmanned Vehicle Systems International holds an annual International Aerial Robotics Competition (IARC), with major.
Jeremy Tillman William Ehlhardt Heather Barrett Daeho Hong.
Mid Semester 2 Presentation: February 27, Joshua Lasseigne: Team Lead and Autopilot Programming Christopher Edwards: AGL Subsystem and Website Maintenance.
End of Semester 1 Presentation: November 28, 2007.
X-Pilot: Autopilot Solutions C. Edwards, J. Lasseigne, W. Overstreet, B. Penland X-pilot flight testing X-pilot groundstation demonstrating waypoint navigation.
Jeremy Tillman William Ehlhardt Heather Barrett Daeho Hong.
Inertial Measurement Unit. Project Advisor: Dr. Basart Client: Matt Nelson Team Members (491): Matt Ulrich Luis Garcia Amardeep Jawandha Julian Currie.
FlySpy Patent Liabilities Analysis
Cloud Cap Technologies
NASA Near-Space Satellite EE 486C
Planetary Lander PDR Team Name
Dr. Marcos Esterman Faculty Guide W. Casolara Project Leader
TIM Communication Library / Firmware
Single Line Tethered Glider
AirTheo “Autonomous solution to your surveying needs”
SCADA for Remote Industrial Plant
Aryal, Johnson, Labrado, Witte, Zhang
Implementation & Results
PAX River Competition UK Aerial Robotics Team University of Kentucky.
UAV Vision Landing Motivation Data Gathered Research Plan Background
A R C E R I A L O B O T I C S L U B AIRFRAME: Piccolo LT Autopilot
Cover page.
TIM Communication Library / Firmware
TIM Communication Library / Firmware
Lockheed Martin Challenge
MiG-29 aircraft upgrade.
Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey
FlySpy Packaging Consideration
Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey
EET2530 Unmanned Aerial Vehicles (UAVs)
Team 3 Ashwin Shankar Upsham Dawra Samit Sura Joe Katz
Low-Cost Fundus Camera
Knowing When to Stop: An Examination of Methods to Minimize the False Negative Risk of Automated Abort Triggers RAM XI Training Summit October 2018 Patrick.
TIM Communication Library / Firmware
Peregrine Jet UAV Team Members: Nabil Osorio, Christian Cambron, Anthony Messina Faculty Sponsor: Siddhartha Bhattacharyya Website: peregrinejetuav.com.
Peregrine Jet UAV Team Members: Nabil Osorio, Christian Cambron, Anthony Messina Faculty Sponsor: Siddhartha Bhattacharyya Website: peregrinejetuav.com.
Team RAPTORS Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey
Presentation transcript:

By: Aurora Kiehl Scott Neuman Jeremie Snyder Dennis Vega Stephen Wess Systems Design Review By: Aurora Kiehl Scott Neuman Jeremie Snyder Dennis Vega Stephen Wess

Project Introduction Initial Scope: UAV Ground Station Current Scope Collect and display in-flight telemetry data Allow user to control aircraft through a computer (joystick/keyboard input) Display pseudo real-time imagery on computer to aid in navigation A building block for a future ground station capable of fully automated flight Current Scope Use of ArduPilot meets many of the future goals Project expanded to include seeded fault detection Detect faults using simple sensors Faults should represent real-world risks to combat/surveillance aircraft

Timeline – MSD1 Gantt Chart created with Gantter® (to be uploaded into Project file format)

Architecture

Customer Needs

Specifications

Functions

MATLAB

LabVIEW

ArduPilot

Overall Concepts MATLAB LabView ArduPilot Selection Criteria Weight Rating Wtd Modifiable 7 49 5 35 Ease of programming 3 15 Ease of implementation 25 Ease of integration with onboard sensors Design time Cost 21 Safety   Total 195 181 213 Continue? No Yes

Embedded Microcontroller/ Telemetry System Control Concepts Embedded Microcontroller/ Telemetry System Legacy ArduPilot LabVIEW MATLAB Latest ArduPilot Selection Criteria Weight Rating Wtd Acquire telemetry data wirelessly 7 5 35 3 21 49 Log flight data (e.g. flight parameters, fault status) 25 Obtain pseudo-real time images 1 Ability to save images Switch between automatic and manual flight control 15 Trigger events on UAV (e.g. take a picture, create fault) 9 Detect physical faults   Total 85 77 95 149 Continue? No Yes

Ardupilot Capabilities Includes 3-axis gyro, accelerometer, magnetometer, barometer. Optional off-board 5Hz GPS (included in price) 4Mb datalogging memory Up to 8 I/O channels Open source, coded in C. Allows manual flight or mission scripting. Waypoints can be defined for automatic flight or the plane can loiter around a "home" point.

Ardupilot Mission GUI

Ground station GUI

MinimOSD video display overlay

Imaging System Concepts Eagle Eyes Cmos Video Keychain #16 Selection Criteria Weight Rating Notes Wtd Wtd. Power 3   9 7 0.6W 21 Rechargeable LiO Resolution 5 (Adjustable?) 15 640x480 25 1280x720 35 Voltage Range 1 5 to 15V Toughness 'Crash Resilient' Price $100 $32 $40 Size 23x32x32[mm] 49 50x32x13[mm] Lens Angle[deg] 70° (adjustable) 70°-120° Weight[lbs] 0.6lbs 0.03125lbs 0.03748lbs Total 78 222 214 Continue? No Yes

Faults Concepts Hole in lifting surface Untethered loss of control surface section Tethered loss of control surface section Control surface partial destruction (remains hinged) Control surface partial destruction (with tail/wing portion) Loss of servo control Selection Criteria Weight Rating Wtd Ease of initiation 5 25 3 15 7 35 Ease of maintenance 1 Accuracy to real-world situation 21 9 Ease of implementation Durability/ repeatability 49   Total 155 77 69 159 47 163 Continue? Yes No

RC Aircraft Concepts Nexstar Mini EP – modelairplanenews.com Alpha 40 – atlantahobby.com Piper J3 Cub – kaboodle.com Dynam Piper J3 Cub Alpha 450 Sport Hobbico Nexstar EP Nexstar Mini EP Alpha 40 Trainer Selection Criteria Weight Rating Notes Wtd Price 5 $230 RTF 25 3 $130 ARF 15 $500 RTF $300 RTF Wingspan 7 4ft 35 5.5ft 21 3.7ft 5.1ft # of Channels 4 9 6 Ease of Modification Foam Balsa Flight Time 20min 15-20 m ?   Total 93 91 103 85 Continue? No Yes Nexstar EP – productreview.com

RC Aircraft Concept - UAV Extra 300 Simple cut-out foam plane Easy to modify for fault systems Cost effective (< $200)

Risks

Moving Forward Purchase ArduPilot Purchase RC aircraft Secure a pilot Investigate sensors for fault detection Investigate cameras for imaging system Finalize budget