The Concept Abstract
  • The abstract is a stand-alone document that does not contain footnotes or graphics.
  • Background/Motivation
    • To enhance the understanding of the dynamics and feedback control system and provide practical mechanical control experience. 
    • Related to the background knowledge from ME344L Control Systems.
    • Do you have faculty, student, and technical staff interviews that justify this need?
  • Theory
    • PID Control Theory

    • Dynamics Model
  • Problem Formulation
    • Enumerate and explain the functional requirements, engineering specifications, system constraints, and overall design philosophy
Design Process and Planning
  • Ideation, design alternatives
    • Pendulum control system
    • Tilt table maze(pinball)
    • Balance tube connector
    • Ball balancing tube
  • Ranking of ideas
    • Ranking from the difficulty/ experiment purpose/ budget/ experiment development/ visualization
  • How did you manage your project?
    • Cong took charge of the control system part; Tianxin took charge of the mechanical system part.
    • Tasks we identified in the first week
      • Analyze the entire system
      • Model the system in MATLAB(Simulink)
      • Obtain the mathematical model and transfer function
      • Build the experiment hardware & circuits
      • Write the control loop with Arduino
      • Test and modify 
      • Further development
      • Complete presentations
      • Finish final report
    • Which ones did you not think about at all?  (Save this item for the lessons learned in the Conclusion)
  • Parts, Bill of Materials
    • Make sure you use a system schematic to label the parts you purchased/procured
    • Why were these parts necessary?  Could you have used different ones?  Why or why not?
  • Manufacturing processes used
    • Also discuss which processes you would recommend if you were building many more units
    • Think about design for assembly, manufacture, maintenance/servicing
    • How much have you considered the user experience?
  • Preliminary results
    • Object Detection
    • Make sure all the systems communicate and work
  • Analysis, Discussion
    • Your results may not be what you expected
    • Consider why this may be the case
    • If you are able to get data that can be analyzed rigorously (not expected), what methods would you use to reduce the information into generalizable knowledge?
Conclusion and Future Work
  • Lessons learned
    • How would you do things differently the next time you design?
    • What advice do you have for someone who wants to replicate your project?
  • Next steps
    • How would you advise the next group of students who take on your project?
    • What other types of experiments can now be performed on the same system?
Acknowledgments References Balancedbot Appendices
  • Calibration procedures for all sensors
    • Include data sheets
  • Experimental procedure
  • Preliminary results (tables of raw data)
  • Statistical analysis; sample calculations

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