Modeling and Simulation of Inverter Control Using Current Hysteresis Band PWM Technique

Current hysteresis band PWM is an efficient method commonly used for inverter control, with its core principle being the real-time comparison between output current and reference current errors. Combined with a hysteresis comparator, it generates PWM signals to enable rapid tracking of reference current variations. In code implementation, this typically involves continuous current sampling and instantaneous error calculation within the control loop.

During the modeling process, the first step involves establishing the mathematical model of the inverter system, including the DC-side power supply, inverter bridge circuit, and load components. The design of the current hysteresis controller is critical, where the hysteresis bandwidth setting determines the permissible current error range. When the actual current exceeds the upper limit of the reference current, the inverter bridge switches states to reduce the current; conversely, when the current falls below the lower limit, it switches states to increase the current. Algorithm implementation requires careful timing control and state machine management to ensure proper switching transitions. This control method eliminates the need for complex modulation algorithms, offers fast response characteristics, and is particularly suitable for applications demanding high dynamic performance.

In simulation verification, comparative analysis typically examines current waveform quality between open-loop control and hysteresis control. Results demonstrate that hysteresis control significantly reduces current harmonics, improves sinusoidal waveform quality, and exhibits superior tracking capability under load transients or reference signal variations. The hysteresis bandwidth selection requires balancing switching frequency and current accuracy - smaller bandwidths yield better waveform quality but correspondingly increase switching losses. Simulation code often includes frequency spectrum analysis functions to quantitatively evaluate harmonic distortion.

This method demonstrates outstanding performance in applications such as motor drives and renewable energy grid integration. The modeling and simulation approach provides an effective foundation for practical system parameter optimization, enabling developers to test different hysteresis bandwidths and load conditions before hardware implementation.