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Micro-CART Micro-Controlled Aerial Robotics Team

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Micro-CART Micro-Controlled Aerial Robotics Team December 13, 2001 – PowerPoint PPT presentation

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Title: Micro-CART Micro-Controlled Aerial Robotics Team


1
Micro-CARTMicro-Controlled Aerial Robotics Team
December 13, 2001
2
Team Information
  • Designation Ongo 3
  • Team Members
  • Second Semester
  • Nathan Ellefson
  • Scott Dang
  • Steve Smith
  • Bernard Lwakabamba
  • Advisors
  • Prof. John Lamont
  • Prof. Ralph Patterson III
  • Prof. Ganesh Rajagopalan

  • First Semester
  • Kirk Kolek
  • Eric Frana
  • Loc Pham
  • Corey Lubahn
  • Todd Welch
  • Matt Devries
  • Client
  • EE/CprE Department

3
Agenda
  • Problem Statement
  • Design Objectives
  • End Product
  • Assumptions/Limitations
  • Risks
  • Technical Approach
  • Flight Controls
  • Communications
  • System Requirements
  • Financial and Human Budgets
  • Lessons Learned
  • Conclusion

4
Problem Statement - Background
  • International Aerial Robotics Competition
  • Held by Georgia Tech annually
  • Started in 1990
  • Autonomous aerial vehicles
  • Accomplish series of tasks in least amount of
    time
  • Tasks change and expand once completed (every 4
    to 5 years)

5
Problem Statement Technical Problem
  • ISUs first entry into IARC competition
  • Modify RC helicopter to function autonomously
  • 1 hour to complete tasks
  • Create wireless base station link
  • Image recognition system that can
  • Identify a beacon at 3km
  • Identify a 1 square meter figure (target
    building)
  • Ground vehicle sensor platform (deploy from air)
  • Full integration among all components

6
Design Objectives
  • Gas powered, modified RC helicopter (X-cell
    1005)
  • Autonomous (PC/104 board for control)
  • Dimensions 54x17.5x6
  • Unit weight 11.75 lbs
  • Maximum lift 6-10 lbs
  • Total project cost 10,000
  • Sensors package
  • Sonar, GPS, Compass, Gyros, Accelerometer
  • Autonomous ground vehicle (specs not set)
  • Ground station
  • Dell 500Mhz PC
  • Image recognition software
  • Wireless communications between ground and air
  • Meets all criteria for IARC competition
  • Fair weather operating environment

7
End Product
  • Fully autonomous gas powered helicopter
  • Sensors package
  • Flight control algorithms
  • Collect and transmit digital images to the ground
    station
  • Recognize targets and react appropriately
  • Ground vehicle sensor platform
  • Qualified to compete in IARC

8
Assumptions
  • Suitable hardware available at affordable price
  • Helicopter can be controlled by a CPU
  • Sensors will send information accurately and
    reliably
  • Off-the-shelf image recognition software will be
    suitable
  • Wireless technology exists to allow for
    transmission of video
  • Enough funding
  • The competition criteria will not change
    radically in the near future

9
Limitations
  • Helicopter payload (6-10 lbs depending on
    variables)
  • Aerodynamic issues
  • Helicopter flight time (depends on variables)
  • Sensors accuracy (GPS, sonar)
  • Range, resolution and accuracy of image
    recognition
  • Power consumption
  • Limited mounting space
  • Funding dependent on outside donors
  • Lack of previously skilled RC helicopter pilot
  • Lack of ME or Aero E members
  • High personnel turnover rate

10
Potential Risks
  • Major rules change invalidates large amounts of
    work
  • Helicopter crash
  • Serious design flaw halts progress
  • Money and funding runs out

11
Technical Approach
  • Micro-CART has been divided into subteams
  • Flight Controls (Scott Dang)
  • Flight algorithms, central processing
  • Communications (Steve Smith)
  • Sensors, Communications vehicle ?? ground
  • System Requirements (Bernard Lwakabamba)
  • Long range planning, hardware

12
Flight Controls Subteam
  • Create software helicopter model
  • Create software that will allow the helicopter to
    maintain stable flight
  • Responsible for
  • Control algorithm that will work reliably if
    there are hardware failures

13
Flight Controls
14
Flight Controls
  • Past Accomplishments
  • Model of the helicopter written in MatLab
  • Researched specific PC/104
  • Written C code that reads data from
  • serial ports

15
Flight Controls
  • Present Semester Goals and Status
  • Design communication flow hardware
  • Goal 1 Design the communication between
    servo-motor controller and servo
  • 100 complete
  • Research helicopter servos
  • Goal 2 Determine what is necessary to control
    the servos
  • 100 complete

16
Flight Controls
  • Present Semester Goals and Status
  • Write code to test controls of servos
  • Goal 3 Use the servo micro-controller to test
    whether the code is able to communicate
    successfully with servos
  • 100 complete

17
Flight Controls
  • Future Work
  • Next Semester
  • Begin developing control algorithms for servo
    program
  • Code to communicate between PC104 and servos
  • Long Term
  • A working PC/104 board
  • Have the servo micro-controller and various
    sensors integrated with PC/104 board

18
Communications Subteam
  • Design and implement communications systems
  • Sensors to microprocessor
  • Microprocessor to ground station (Wireless)
  • Current Sensor Components
  • - Polaroid 6500 Ranging Module ?
    Altitude Proximity
  • - Digital Compass
    ? Direction
  • - Accelerometers
    ? Acceleration
  • - Gyroscopes
    ? Pitch, Yaw, Roll
  • Future Sensor Components
  • - GPS
    ? Global Coordinate
  • - Imaging System ? Image Recognition

19
Communications
20
Communications
  • Past Accomplishments
  • Purchased sensors
  • PIC tutorial labs completed in SSOL
  • Initial assembly code developed for Sonar

21
Communications
  • Present Semester Goals and Status
  • PIC introduction
  • Goal 1 Introduce 1st semester students to PIC
    programmer
  • 100 complete
  • Sonar sensors
  • Goal 2 Continue debugging Sonar code
  • 85 complete

22
Communications
  • Present Semester Goals and Status
  • Compass sensor
  • Goal 3 Debug and test Compass Code
  • 70 complete
  • Interfacing sensors with PC/104
  • Goal 4 Research components which are
    compatible
  • 65 complete

23
Communications
  • Future Work
  • Next Semester
  • Finish debugging Sonar and Compass code
  • Start code for Accelerometers and GPS sensors
  • Image Recognition System
  • Long Term
  • Algorithm for polling data from all sensors
  • Develop wireless communication

24
Systems Requirements
  • Oversee and act as an administrative source for
    the overall team
  • Responsible for the following
  • Develop the long term Strategic Plan
  • Insure helicopter flightworthiness
  • Identify design limitations
  • Coordinate integration of the two groups

25
Systems Requirements
  • Past Accomplishments
  • Created last semesters team-handbook
  • Acquired Ground Station
  • Acquired Flight Simulator Software

26
Systems Requirements
  • Present Semester Goals and Status
  • Helicopter Repair
  • Goal 1 Insure flightworthiness of the vehicle
  • 100 complete
  • Develop the long term strategic plan
  • Goal 2 Identify the milestones to meet
    competition date
  • 80 complete
  • Edit Team Handbook
  • Goal 3 Quickly orient the incoming members
  • 100 complete

27
Systems Requirements
  • Present Semester Goals and Status
  • Pilot Training Program
  • Goal 4 Trained pilots to prevent helicopter
    damage
  • 100 complete (ongoing)
  • Check- out List
  • Goal 5 Create an inventory tracking system
  • 95 complete

28
Systems Requirements
  • Future Work
  • Next Semester
  • Helicopter Limitations
  • Goal Identify the payload capacity and fuel
    consumption of the helicopter
  • Deployed Vehicle Research
  • Goal Identify performance requirements
  • Long Term
  • Sub-team Expansion and Integration
  • Goal Specify personnel requirements

29
Financial Budget
30
Human Budget
  • Estimated(hrs) Actual(hrs)
  • Nathan Ellefson 84 83
  • Steven Smith 93 86
  • Scott Dang 81 87
  • Bernard Lwakabamba 90 85
  • Kirk Kolek 88 85
  • Eric Frana 84 111
  • Loc Pham 80 75
  • Corey Lubahn 85 90
  • Todd Welch 77 80
  • Matt Devries 77 77

31
Lessons Learned
  • If you need to do something, it may have been
    done before
  • GPS, aerial cameras, servos, sonars
  • PIC programming
  • RC helicopter flight
  • Servo micro-controller programming
  • Right skills for the job are important
  • Investigation/research
  • Long range planning

32
Summary
  • Goal
  • Create autonomous aerial vehicle to compete in
    the IARC competition by 2004.
  • Solution
  • Modify RC helicopter to fit needs, create ground
    vehicle, integrate with image rec.

33
Demonstrations Questions
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