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
- Ideation, design alternatives
- Pendulum control system
- Tilt table maze(pinball)
- Balance tube connector
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- 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
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- 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?
- 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?
- Calibration procedures for all sensors
- Include data sheets
- Experimental procedure
- Preliminary results (tables of raw data)
- Statistical analysis; sample calculations
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