Robert Griñó Cubero

Hinf current controller for input admittance shaping of VSC-based grid applications

This paper presents a current controller that shapes, in the frequency domain, the input admittance of voltage-source converters connected to the grid. The controller is obtained by means of a

Adaptive neural network state predictor and tracking control for nonlinear time-delay systems

\mathcal {H}_\infty

Digital Repetitive Control of a Three-Phase Four-Wire Shunt Active Filter

synthesis procedure, which minimizes the difference between the application closed-loop input admittance and a model-reference defined by the designer. This formulation achieves good accuracy in both modulus and phase. The proposed methodology allows the fulfilment of other current control objectives, such as current tracking, by defining frequency regions where each objective is desired. Experimental results show the good response of the proposed controller, both in frequency and time domain.