MATLAB Simulation Code Implementation

In the field of power electronics and motor control, using MATLAB for three-phase PWM inverter simulation is a common task. Through the Universal Bridge module and IGBT devices, an efficient simulation model can be constructed to simulate the inverter's operation process. The implementation involves configuring Simulink blocks and setting appropriate parameters for power electronics components.

Three-phase PWM inverters are typically used to convert DC power into adjustable frequency and voltage three-phase AC power, suitable for applications such as motor drives and renewable energy systems. In MATLAB's Simulink environment, the Universal Bridge module can be utilized by selecting IGBTs as switching devices, coupled with PWM generators for control. Key functions include the Power GUI block for simulation configuration and measurement blocks for waveform analysis.

Critical implementation steps include: Building the main circuit: Configure the Universal Bridge as a three-phase bridge structure and select IGBTs as power switching devices. This involves setting device parameters like internal resistance and snubber circuits. PWM modulation: Generate appropriate modulation signals through PWM generators, employing strategies like SPWM (Sinusoidal Pulse Width Modulation) or SVPWM (Space Vector Pulse Width Modulation). The implementation requires configuring carrier frequency and modulation index parameters. Load and measurement: Connect three-phase loads (such as resistors, inductors, or motor models) and add voltage/current sensors to observe output waveforms. Use Simulink scopes and measurement blocks for data acquisition. Closed-loop control (optional): For more precise regulation, introduce PI controllers or other control strategies to form a closed-loop system. This involves implementing control algorithms using PID blocks or custom MATLAB functions.

Simulation results typically include the inverter's output voltage/current waveforms and IGBT switching states. By analyzing this data through FFT analysis tools, modulation strategies can be optimized, harmonic characteristics improved, and system efficiency enhanced. The simulation allows for parameter tuning through workspace variables and callback functions.

This simulation approach is not only suitable for theoretical research but also provides references for practical hardware design, reducing experimental debugging time through pre-validation of control algorithms and system behavior.