⭐ 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