⭐ Fuzzy MPPT for Wind Energy Conversion System – MATLAB/Simulink Model

The Fuzzy Logic–based Maximum Power Point Tracking (MPPT) Wind Energy Conversion System provides a complete MATLAB/Simulink environment for analyzing intelligent control in wind power applications. This model integrates a 3 kW wind turbine, PMSG generator, uncontrolled rectifier, and DC–DC boost converter, with a fuzzy MPPT controller ensuring maximum energy extraction across varying wind speeds.

By using a rule-based fuzzy logic approach, the MPPT controller delivers faster response, smoother convergence, and reduced oscillations compared to traditional P&O methods. The system maintains a regulated 400 V DC output and adapts efficiently when wind speed changes from 12 m/s to 10.8 m/s. Power output transitions from ~3 kW to ~2.2 kW, demonstrating realistic turbine behaviour and strong control performance.

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This model is ideal for researchers, M.Tech/PhD scholars, and engineers studying wind energy systems, MPPT algorithms, intelligent control, and renewable-energy integration.

✅ Key Features

✔️ Fully developed MATLAB/Simulink model with clean subsystem design ✔️ Wind turbine (3 kW) + PMSG with realistic mechanical–electrical dynamics ✔️ Rectifier producing ~250 V DC at nominal wind conditions ✔️ Boost converter regulated to 400 V using fuzzy MPPT duty-cycle control ✔️ Fuzzy MPPT inputs: Error (E) & Change in Error (dE) ✔️ 7-level membership functions & rule base for intelligent convergence ✔️ Wind-speed variation test: 12 m/s → 10.8 m/s ✔️ Output power: 3000 W at 12 m/s, 2200 W at 10.8 m/s ✔️ Increased energy capture with minimal oscillations around MPP ✔️ Ideal for renewable-energy courses, journal papers, and advanced control studies

📦 What You Will Receive

📁 Complete MATLAB/Simulink (.slx) Model  

⚡ Applications

• Wind Energy Conversion System (WECS) Research

• Intelligent MPPT Algorithm Development

• Boost Converter & PWM Control Studies

• Renewable Energy Modelling & Microgrid Integration

• Academic Thesis, IEEE Paper Implementation & Lab Demonstrations