This repository presents the MATLAB plotting approach for performing Sensitivity Analysis (SA) for student competitions. It is used here specifically to evaluate score sensitivity. It helps teams identify the most sensitive design variables and optimize their vehicle designs to maximize their overall score.
This code discusses the design parameter sensitivity for the student competition score function, especially competitions focused on model aircraft design, i.e., AIAA Design Build Fly, SAE Aero Design, etc. It helps to investigate how distinctive design variables affect the mission score. To demonstrate this, we will use the scoring function from the AIAA Design Build Fly Competition 2021 Rule Book, with the MATLAB plotting approach. By the end of this demo, you will better understand how to make informed design choices to optimize the competition score.
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To run:
- Download the repository and extract it to your local directory.
- In the MATLAB environment, make this directory as current folder.
- Open the file either by double clicking on the 'Sensivity_Analysis_with_MATLAB_for_Student_Competition_Score.mlx' in the Current Folder Window or by running the command, open('Sensivity_Analysis_with_MATLAB_for_Student_Competition_Score') in MATLAB Command Window.
- Run the file by clicking on the Run Button available in the Live Editor menu bar.
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- MATLAB release R2022a or higher
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The license for Sensitivity Analysis with MATLAB for Student Competition Scores is available in the License.txt file in this GitHub repository.
For any queries, contact the authors at roboticsarena@mathworks.com
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