MPC Based Boost Converter Control for Dynamic Voltage Regulation in MATLAB
 
This project presents an advanced Model Predictive Control (MPC) strategy for a DC-DC boost converter designed to achieve precise output voltage regulation under varying input voltage and load conditions. The controller predicts future converter behavior using a discrete-time model and selects the optimal duty cycle by minimizing a multi-objective cost function.
 
Unlike conventional PI-based controllers, the proposed method integrates feedforward duty estimation, integral error correction, and adaptive candidate search, ensuring fast transient response, reduced steady-state error, and improved stability.
 
The model is fully developed in MATLAB/Simulink, making it suitable for simulation, academic research, and controller design validation. It supports dynamic scenarios such as input voltage variation, load disturbance, and reference tracking, making it highly applicable for renewable energy systems, EV charging, and power electronic converters.
 
Specifications / Ratings
 
Converter Parameters
Input Voltage (Vin): 8V – 15 V (variable)
Output Voltage (Vo): 20 V – 24V (regulated)
Inductor (L): 1.4 mH
Capacitor (C): 4.3 mF
Switching Frequency: 10 kHz (adjustable)
Sampling Time (Ts): 5e-4 sec
 
Controller Parameters
 
Prediction Horizon (Np): 25
Candidate Duty Cycles: 41
Duty Cycle Range: 0.05 – 0.90
Voltage Tracking Weight: High priority
Current Penalty Factor: 0.005
Duty Variation Penalty: 0.02
Integral Gain (Ki): 0.002
 
Performance Features
 
Fast voltage tracking (< 0.05 sec response)
Reduced steady-state error (< 1%)
Smooth duty cycle transition
Stable operation under load variation
 
Key Points
 
Advanced MPC-based control instead of conventional PI
Handles input voltage and reference variation effectively
Integrated feedforward + integral correction
Adaptive duty search improves control accuracy
Multi-objective cost function for optimal performance
Supports real-time implementation (codegen compatible)
Reduced oscillations and improved stability
Suitable for renewable and EV applications
 
Useful To
 
Power Electronics system design and simulation
DC-DC converter control research
Solar PV and renewable energy systems
Electric Vehicle (EV) charging systems
Microgrid and energy management systems
MATLAB/Simulink academic projects
Advanced control techniques (MPC) study
Controller performance comparison (PI vs MPC)