Control Systems Simulator
Objective
To develop an interactive platform that allows engineering students to model, simulate, and analyze control systems, including transfer functions, feedback loops, and controllers (PID, lead-lag, etc.), with real-time response visualization.
Key Features
Student Panel:
-
Create block diagrams and define system transfer functions
-
Apply controllers like PID, PD, PI, and custom compensators
-
Simulate time-domain responses: step, impulse, ramp
-
Visualize frequency-domain responses: Bode plot, Nyquist, and Nichols
-
Adjust system parameters dynamically and observe effects in real-time
Teacher Panel:
-
Upload example control systems and simulations
-
Assign exercises for students with different system parameters
-
Monitor student attempts and provide feedback
-
Compare student simulation results with reference solutions
Admin Panel:
-
Manage users (students & teachers)
-
Monitor system usage and active sessions
-
Add new system templates or controller types
-
View analytics on most used simulations and student performance
Tech Stack
| Layer | Technologies |
|---|---|
| Frontend | React.js / Angular / Vue.js, Plotly.js / D3.js (for graphs) |
| Backend | Node.js + Express / Django / Python Flask |
| Simulation Engine | Python (NumPy, SciPy, Control Systems Library), MATLAB Engine API / JavaScript numerical libraries |
| Database | MongoDB / PostgreSQL / Firebase |
| Authentication | JWT / OAuth 2.0 |
| Hosting | AWS / Heroku / Vercel / Firebase |
Workflow (Step-by-Step)
1. User Registration & Login
-
Students and teachers register/login securely
-
Access Control Systems Simulator dashboard
2. System Modeling
-
Students define system transfer functions or block diagrams
-
Configure inputs (step, impulse, ramp) and set controller parameters
3. Simulation Execution
-
Run time-domain and frequency-domain simulations
-
Observe system response graphs in real-time
-
Compare different controller settings and system behaviors
4. Reporting & Export
-
Save simulation results and graphs
-
Export plots and analysis reports for submission
-
Teachers review student results and provide feedback
5. Analytics & Progress Tracking
-
Track student engagement with simulations
-
Generate reports on parameter variations and accuracy
-
Identify common misconceptions or errors