📌 This project is a real-time simulator designed for those working on control systems and dynamic system analysis. Built with Python, this tool allows users to dynamically define transfer functions, gain values, and input signals, and visualize the system's time-domain behavior in real-time.
Features Transfer Function Definition:
Users can input the numerator and denominator coefficients of the transfer function. The gain (K) value can be adjusted dynamically. Input Signal Options:
Step Ramp Sinusoidal Real-Time Graph Updates:
When parameters are changed, the system response is recalculated and visualized immediately on the graph. User-Friendly Interface:
Simple and intuitive GUI powered by Tkinter. System responses are visualized using Matplotlib. Technologies and Libraries Python: The primary programming language. Control Systems Library: For transfer functions and system simulations. Tkinter: For building the graphical user interface. Matplotlib: For data visualization. Installation and Usage Install the required libraries:
pip install numpy matplotlib control Run the project:
python main.py Using the interface:
Input the numerator and denominator coefficients of the transfer function. Set the gain value. Select the input signal type (Step, Ramp, Sinusoidal). Observe the real-time system response in the graph. Screenshot
Note: Add your actual screenshot here.
Use Cases Control Systems Education: A perfect learning tool for students and instructors. Research Projects: Quickly analyze the time-domain behavior of dynamic systems. Prototyping: Test the initial stages of control system designs. Contributing If you'd like to contribute:
Fork this repository. Make your changes. Submit a Pull Request. License This project is licensed under the MIT License. See the LICENSE file for more details.
💡 Have questions or suggestions? Feel free to reach out! If you find this project helpful, don't forget to star it! 🌟 #Python #ControlSystems #Simulation #DynamicSystems #Education