Nonlinear Compensation Algorithm for Inverters Based on Hyper-Spiral Sliding Mode Observer

The rapid advancements in power electronics technology have made inverters, as critical components of power conversion systems, key to determining the efficiency and stability of the entire system. However, in real-world operations, inverters are often influenced by nonlinear factors such as switching dead time and the nonlinear properties of inductors and capacitors. These factors cause distortion in the output voltage waveform, thereby degrading the system's performance. To mitigate this issue, this paper introduces a nonlinear compensation method based on a hyper-spiral sliding mode observer for inverters. The observer is designed to estimate and compensate for these nonlinear errors in real time. By integrating hyper-spiral control theory, the observer significantly enhances the system's robustness and reduces sensitivity to parameter fluctuations. Simulation results indicate that the proposed nonlinear compensation method notably improves the inverter's output waveform quality and increases the system's dynamic response speed and stability. Compared to traditional sliding mode observers, the algorithm demonstrated here offers superior performance in suppressing nonlinear disturbances, providing a novel solution for high-performance inverter control.