Model-Free Adaptive Control Strategy for Three-Phase Two-Level Voltage Source Inverters

A data-driven model-free adaptive control method is proposed to address the problem of overdependence of three-phase two-level inverters on system parameters. First, the mathematical model of the inverter is converted into a dynamic linearized model by a dynamic linearization method. Second, an extended state observer is introduced to recognize the system using real-time measured input and output data. Then the optimal input vector is obtained by minimizing the criterion function, and the inverter is controlled by the SVPWM modulator. Finally, the effectiveness of the method is verified by simulation experiments.