The Star Drive Relay Simulation System is an advanced software suite designed for the simulation and optimization of spacecraft propulsion technologies. It leverages cutting-edge computational methods including genetic algorithms, simulated annealing, and particle swarm optimization to enhance the performance and efficiency of spacecraft maneuvers.
- Dynamic Simulation: Model the physical dynamics of spacecraft propulsion under varying conditions.
- Optimization Algorithms: Utilize multiple optimization techniques to find optimal solutions for propulsion parameters.
- Graphical User Interface: A user-friendly interface for setting parameters, initiating simulations, and viewing results graphically.
- Detailed Analytics: Generate comprehensive reports on propulsion efficiency, power requirements, and thermal management.
Ensure you have Python 3.8 or later installed, along with the following packages:
- NumPy
- Matplotlib
- Astropy
- DEAP
- Platypus
- Scikit-learn
- PySwarm
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Clone the Repository: git clone https://github.com/yourrepository/stardriverelay.git
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Navigate to the Directory: cd stardriverelay
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Install Dependencies: pip install -r requirements.txt
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Launch the Application: python main.py
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Set Parameters: Enter the desired parameters in the GUI.
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Run Simulation/Optimization: Choose either to simulate with current parameters or to run optimization algorithms.
Modify the config.json file in the root directory to adjust default simulation settings such as initial values for spacecraft mass, propulsion force, etc.
Interested in contributing? Great! Please fork the repository, make your changes, and submit a pull request. We appreciate your input!
This project is proprietary and maintained by Star Drive Inc. Use of the software is subject to the terms of the included LICENSE file.
For support or general inquiries, contact us at [email protected].