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)