https://github.com/nooridan/rocketrymotorselector

Wondered how your rocket performs under a motor. worry no more! whether you have a commercial off the shelf motor or a custom one, you can easily visualize your rockets performance as long as you have the static fire test results.
https://github.com/nooridan/rocketrymotorselector

data-processing rocket trajectory-prediction

Last synced: 9 days ago
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Wondered how your rocket performs under a motor. worry no more! whether you have a commercial off the shelf motor or a custom one, you can easily visualize your rockets performance as long as you have the static fire test results.

• Host: GitHub
• URL: https://github.com/nooridan/rocketrymotorselector
• Owner: NooriDan
• Created: 2022-10-07T04:58:30.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-10-20T17:42:39.000Z (about 2 years ago)
• Last Synced: 2023-07-12T23:29:49.867Z (over 1 year ago)
• Topics: data-processing, rocket, trajectory-prediction
• Language: MATLAB
• Homepage:
• Size: 1.57 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Project: RocketryMotorSelector

#Project Description

An Object-Oriented program that performs numerical calculation on motor data and rocket specifications to simulate the launch trajectory. The input thrust curve is a .csv file obtained from a static fire test, which is processed to a set sampling frequency using MATLAB built-in interpolation, data filtering and smoothing Tool.

Numerical method...

- Uses Runge-Kutta integration to reduce error

- Based on a simple differential equation of the motion (thrust, gravity, and drag)

- The results are being tested with OpenRocket results (an opensource rocket simulation app)

Advantages...

- Fast testing mode: Finding the right mass, dimensions and motor for a rocket design in the preliminary system definition requires rough calculations that can be done rapidly with this program. Quick optimization of these three parameters is also a feature of this program.

- Learning potentials: familiarizes the team members with the underlying science behind the simulation apps that are used commonly in the industry.

- Research : We have better control on dealing with the complex aerodynamics of the rocket at different Mach number

- Customizable: Could be integrated into our next custom hybrid motor test to simulate the performance of that motor on different rockets' airframe.