Model Reference Adaptive Control-based Modelling of Rectifier and Inverter

The rectifiers and inverters are playing an impor-tant role in the integration of green energy sources with the traditional grid. This paradigm shift from the traditional grid operation to the hybrid grid operation provides bidirectional power flow and other benefits. However, in addition, to unpredictable load variations, the uncertain behavior of renewable sources also results in a negative impact on the voltage output and other performance parameters. To mitigate these effects, the paper proposes to use an average model of the rectifier and inverter with a Model Reference Adaptive Controller (MRAC) for improvement in the system performance. Utilizing an average model in the MRAC technique enables better stability and control performance by reducing high-frequency dynamics. The MRAC approach utilizes adaptive controllers that adjust their behavior based on the changing parameters over time. By examining a range of load parameters for rectifier and inverter in a case study, the proposed approach has demonstrated impressive enhancements in voltage output, efficiency, and stability, which positions it as a promising solution for enhancing the performance and reliability of power conversion and regulation systems in practical applications, compared to other control techniques.