MATLAB Implementation of Fuzzy Logic Based Variable Step Size P&O MPPT Algorithm for PV System
MATLAB Implementation of Fuzzy Logic Based Variable Step Size P&O MPPT Algorithm for PV System
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Fuzzy Logic based Variable Step Size Perturb and Observe (P&O) MPPT algorithm for a solar PV system. The model is developed to improve maximum power extraction from the PV panel under both constant irradiance and dynamic irradiance conditions.
The presented system includes a 250 W solar PV panel, boost converter, PWM pulse generation, fuzzy logic controller, and variable step size P&O MPPT control. In this work, the fuzzy controller receives inputs such as the slope of the PV curve (ΔP/ΔV) and fixed perturbation step size, and generates a small adaptive change in duty cycle. This helps the system achieve fast tracking, reduced oscillation around MPP, and better dynamic response compared to conventional fixed-step P&O methods.
The simulation is tested for varying irradiance levels of 1000 W/m², 800 W/m², 600 W/m², and 400 W/m², with irradiance changes applied every 0.2 seconds. The results show that the controller extracts power close to the theoretical maximum power at each irradiance condition. The video also explains the flowchart, fuzzy membership functions, rule base, Simulink model, and output waveforms including PV voltage, PV current, PV power, converter voltage, converter current, and converter output power.
This model is useful for learning advanced MPPT design and for developing solar PV research simulations in MATLAB/Simulink.
Model Rating
Model Type: Solar PV MPPT Simulation Model
Control Technique Rating: Advanced
Simulation Difficulty: Intermediate to Advanced
Performance Rating: High tracking accuracy under variable irradiance
Application Rating: Very useful for solar PV control studies and MPPT analysis
Specifications / Ratings of the Model
Model Name: Fuzzy Logic Based Variable Step Size P&O MPPT for Solar PV System
Software Platform: MATLAB/Simulink
PV Panel Rating: 250 W
Converter Type: DC-DC Boost Converter
MPPT Technique: Variable Step Size P&O with Fuzzy Logic Assistance
Controller Inputs: ΔP/ΔV and fixed step size
Controller Output: Adaptive small change in duty cycle
PWM Control: Yes
Test Conditions: Constant and dynamic irradiance
Irradiance Levels: 1000, 800, 600, 400 W/m²
Irradiance Change Interval: 0.2 s
Temperature Setting: Around 22°C to 23°C
Load Type: Variable resistive load with multiple load options
Observed Outputs: PV voltage, PV current, PV power, converter voltage, converter current, converter power
Key Points
Fuzzy logic is used to generate adaptive variable step size for MPPT.
Compared with conventional P&O, this method reduces steady-state oscillations.
The controller tracks maximum power effectively under changing irradiance.
The model uses the PV slope ΔP/ΔV as an important decision parameter.
A boost converter is used to interface the PV system with the load.
The fuzzy logic controller adjusts the duty cycle dynamically.
The model is tested under both static and dynamic solar conditions.
Output power closely matches the theoretical PV maximum power values.
Suitable for solar PV research, academic projects, and MPPT performance analysis.
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