9. Report Rubric

TRECS Project

Report Rubric

Example Only – Check with your instructor for due dates and deliverables.

Format Requirements (5 pts):

  • Include a cover page with a title, your name, the professor’s name, the semester, and the year.

  • Text must be single-spaced, 12 pt. font in Helvetica, Arial, Times, or Times New Roman.

  • Headings must have the following format:

    • Major headings: bolded and centered

    • Subheadings: bolded, left aligned on a separate line

    • Sub-Subheadings: underlined, left aligned, and on a separate line

  • Equations must be centered on a line by themselves and formed using computer equation editing tools. Please follow the nomenclature provided in additional project resources.

  • Be concise and to the point, answer questions directly, and avoid including unnecessary information or discussion.

  • All plots and figures must be clear and readable, with an appropriate legend for each variable and labeled axes (with units). Plots should NOT be taken from screenshots, rather, you should save the image from MATLAB, Excel, or any other software used.

  • Your report may be up to 12 pages long, excluding the cover page (-1 pt for every additional page)

  • If you choose to include code snippets, additional screenshots, or other information please place those in a properly labeled Appendix section at the end of the report. No appendix pages will count toward the page limit. No appendix material is required including code snippets unless you feel that it will supplement your report.

Tables -

  • Tables should be titled and numbered with Roman numerals.

  • Tables should have captions placed above the table itself.

  • All text should be easily readable and logically organized.

Figures -

  • Figures should be titled and numbered with Arabic numerals.

  • Figures should have captions placed below the figure itself.

  • All text should be easily readable and logically organized.

  • Figures must have both axes labeled with units.

  • Figures must have a legend with distinctly identifiable colors or symbols for each variable.

Technical Requirements (95 pts):

  • Introduction (10 pts)

    • Include the objective of the project itself (2 pts)

    • Describe how the system was built and the software tools used to simulate and analyze the system (4 pts)

    • Briefly mention the main results and findings of the overall project (4 pts)

  • Physical Device and Testing (10 pts)

    • Evidence of functional device and completed tests (4 pts)

    • Plot of device response to default gains (4 pts)

    • Answer to Question in Section 1, step 2 (2 pts)

  • Dynamics Modeling (10 pts)

    • Derivation of equation of motion for modeling the system (8 pts)

    • Simplification of model (2 pts)

  • Model Approximation (15 pts)

    • Procedure and results for determination of each term’s coefficient (10 pts)

    • Table of final coefficient values and the final equation of motion (5 pts)

  • P Controller (10 pts)

    • Plots for 3 different gains tested (5 pts)

    • Answer to Question 4.1.5 (2.5 pts)

    • Answer to Question in 4.1.6 (2.5 pts)

  • PD Controller (10 pts)

    • Plots of 3 different gain sets tested (5 pts)

    • Answer to Question 4.2.5 (2.5 pts)

    • Answer to Question 4.2.6 (2.5 pts)

  • PID Controller (10 pts)

    • Plots of 3 different gain sets tested (5 pts)

    • Answer to Question 4.3.5 (2.5 pts)

    • Answer to Question 4.3.6 (2.5 pts)

  • Step Change Test (5 pts)

    • Plot of the actual device response (2.5 pts)

    • Answer to Question 4.4.2 (2.5 pts)

  • Optimal Control using LQR (10 pts)

    • Derivation of the PD state space model including A and B matrices (2 pts)

    • Chosen Q and R matrices, optimal PD gains, and plot of the response (2 pts)

    • Answer to Question 5.2 (1 pt)

    • Derivation of the PID state space model including A and B matrices (2 pts)

    • Chosen Q and R matrices, optimal PID gains, and plot of the response (2 pts)

    • Answer to Question 5.4 (1 pt)

  • Conclusion (5 pts)

    • Explains your overall findings and the importance of the project. (5 pts)

T-RECS Machine Learning Extra Credit (5 pts):

  • Describe your approach to using the learning techniques for your PID controller system.

  • Provide evidence of your approach (whatever you feel is sufficient to prove the learning was actually used).

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