This work introduces an online virtual-physical system-based auto-tuning approach for initializing the parameters of direct adaptive controllers in grid-tied inverters with LCL filters. The method employs frequency-rich excitation signals to ensure sufficient parameter convergence prior to grid connection, effectively eliminating the need for empirical adjustments or offline optimization. A detailed comparison among several excitation strategies is conducted, emphasizing their influence on conve
Virtual–Physical System-Based Deterministic Auto-Tuning for Adaptive Controller Gain Initialization in Grid-Tied Inverters
Wagner Barreto da Silveira·Hilton Abílio Grundling·Paulo Jefferson Dias de Oliveira Evald·Alexandre Silva Lucena·Maicon de Miranda·Rodrigo Varella Tambara
