MATLAB Buck-Boost Converter Model with MPPT Algorithm Implementation

A comprehensive MATLAB/Simulink model can be developed to simulate a buck-boost converter integrated with Maximum Power Point Tracking (MPPT) functionality. This simulation framework enables detailed performance analysis of the converter's voltage regulation efficiency and dynamic response characteristics. The model implementation typically includes PID controller blocks for output voltage regulation and MPPT algorithms such as Perturb and Observe (P&O) or Incremental Conductance methods, which can be programmed using MATLAB Function blocks or S-functions. The simulation allows for testing various control strategies through parameter tuning of the controller gains and MPPT algorithm parameters. Key components include the switching MOSFET/diode pair, LC filter elements, and pulse-width modulation (PWM) generation blocks. The model can incorporate different load conditions through variable resistor blocks and external factors like temperature variations and input voltage fluctuations using appropriate source blocks and parameter sweeps. Through MATLAB's Power Electronics Toolbox, users can implement the power stage using Simscape Electrical components, while the control logic can be developed using Stateflow for finite state machine implementation or MATLAB code for algorithm development. The simulation results provide valuable insights for optimizing converter design parameters, including inductor/capacitor values, switching frequency selection, and controller tuning for various industrial applications such as solar energy systems, battery charging circuits, and DC-DC power conversion systems.