MATLAB Code Implementation for Complete PWM Inverter Simulation

Resource Overview

MATLAB-based simulation code for comprehensive PWM inverter system analysis with parameter tuning and waveform visualization

Detailed Documentation

PWM inverters play a crucial role in modern power electronic systems. Implementing complete PWM inverter simulations using MATLAB enables engineers and researchers to deeply understand operational principles and analyze how different parameters affect system performance.

The simulation typically focuses on four key parameter groups: carrier frequency, modulation index, load type, and dead time. The carrier frequency determines PWM waveform resolution, where higher frequencies reduce output harmonics but increase switching losses. The modulation index directly affects output voltage amplitude, and proper selection can optimize inverter efficiency. Load types (resistive, inductive, or capacitive) influence output current waveforms, requiring different control strategies for various load characteristics. Dead time prevents shoot-through in bridge legs, but excessive delay causes output voltage distortion.

By adjusting these parameters and comparing simulation results, users can visually observe PWM inverter output waveform variations under different operating conditions. For instance, increasing modulation index raises output voltage, while higher carrier frequencies produce smoother output waveforms. Dead time configuration requires balancing switching losses and waveform quality.

MATLAB provides comprehensive toolboxes (such as Simulink and SimPowerSystems) that simplify PWM inverter modeling and simulation. Users can build circuit models using Simulink blocks, set parameters through MATLAB scripts, and run simulations to quickly validate design feasibility. This simulation approach not only reduces hardware testing costs but also provides crucial references for actual system debugging and optimization. Implementation typically involves using Power Electronics toolbox components for switch modeling and Control System toolbox for closed-loop control algorithms.