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https://github.com/mathworks/sensitivity-analysis-with-matlab-for-student-competition-scores

This repository presents the MATLAB code for sensitivity analysis to identify the most sensitive design variable for aircraft design.
https://github.com/mathworks/sensitivity-analysis-with-matlab-for-student-competition-scores

aeromodelling aerospace aircraft design matlab sensitivity-analysis

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This repository presents the MATLAB code for sensitivity analysis to identify the most sensitive design variable for aircraft design.

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# Sensitivity Analysis with MATLAB for Student Competition Scores

[![View Sensitivity-Analysis-with-MATLAB-for-Student-Competition-Sco on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://in.mathworks.com/matlabcentral/fileexchange/136384-sensitivity-analysis-with-matlab-for-student-competition-sco)

[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=khush1008/sensitivity-analysis-with-matlab-for-student-competition-score)

## Introduction

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.

Course Layout
Total Mission Score Analysis

Mission-2 Score Analysis
Mission 3: Sensor Length vs Sensor Weight

### Learn more with the detailed video


Watch the video

## Setup
To run:
1. Download the repository and extract it to your local directory.
2. In the MATLAB environment, make this directory as current folder.
3. 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.
4. Run the file by clicking on the Run Button available in the Live Editor menu bar.

## MathWorks Products (https://www.mathworks.com)

1. MATLAB release R2022a or higher

## Additional resources
Learn MATLAB with the following resources
1. [MATLAB Onramp](https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted)
2. [Explore MATLAB Examples and Documentation](https://in.mathworks.com/help/matlab/getting-started-with-matlab.html)
3. [Get Started with Introductory MATLAB Videos](https://in.mathworks.com/videos.html#matlabgetstarted)

## License

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

Copyright 2023 The MathWorks, Inc.