AC-DC Regulated power supply | Proteus Simulation & Python Data Analysis

In this project, I designed, simulated, and quantitatively analyzed an AC-to-DC regulated power supply using Proteus and Python. The project demonstrates the complete conversion process from AC to regulated DC, including: ⚡ AC voltage transformation 🔄 Full-wave bridge rectification 🔋 Capacitor filtering and ripple analysis 🔧 LM317 adjustable voltage regulation 📊 Load and current analysis 🌡️ Regulator power dissipation analysis 📈 Efficiency analysis 🐍 Python-based data processing and visualization I investigated LM317 output setpoints of 5 V, 9 V, 12 V, and 24 V, comparing theoretical calculations with Proteus simulation results. The average absolute percentage error was approximately 5.35%. I also investigated the effect of filter capacitance on ripple voltage. Increasing the capacitor from 470 µF to 4700 µF reduced the simulated ripple from approximately 1.8 V to 0.1 V. Load testing demonstrated approximately 12.8 V regulation across the tested normal-load range. Under high-load conditions, the maximum tested current reached approximately 472 mA, with the LM317 dissipating approximately 8.31 W. The simulation measurements were organized into structured datasets and analyzed using Python, Pandas, and Matplotlib to produce engineering visualizations and identify relationships between capacitance, ripple, load resistance, current, power dissipation, and efficiency. 🛠️ Tools Used Proteus Python Pandas Matplotlib Excel/CSV GitHub 📂 Project Repository Full Proteus project files, datasets, Python analysis, graphs, and screenshots are available on GitHub: https://github.com/r70879969-creator/AC-DC... 📌 Note This project is a simulation-based engineering investigation. The efficiency values presented in the video represent the LM317 regulator stage, rather than the complete AC-to-DC power supply. #ElectricalEngineering #Proteus #Python #DataAnalysis #Electronics #LM317 #CircuitSimulation #DataVisualization