This thesis describes a method of Linear Matrix Inequality (LMI) to determine robust gain for a three-phase grid-connected inverter (GCI). The robust controller technique is applied to a three-phase dc-ac inverter. This controller employs state feedback and integration of the tracking error in the 𝑑𝑞 rotational frame so that the offset-error can be eliminated. An…
Typically, unknown grid impedance in power distribution networks cannot be avoided; therefore, building an effective controller is essential. Furthermore, it is impossible to eliminate the intrinsic parameter uncertainty of the inverter filter. In this study, an AC power grid receives well-regulated power from a DC source using a systematic control method to address these problems.…
This paper presents a robust control strategy for an electric vehicle’s three-phase off-board bidirectional AC-DC battery charger. The conventional constant current (CC) and constant voltage (CV) charging mode are considered to provide a fast-charging performance for the batteries. The bidirectional charger also allows using of the vehicle as an energy storage system for the grid…
This paper proposes using Linear Matrix Inequality (LMI) for robust controller design in a three-phase grid-connected inverter (GCI). The controller, applied to a three-phase dc-ac inverter, integrates state feedback and error correction within the dq-rotational frame to eliminate offset errors. An LMI-based optimization minimizes settling time despite uncertainties in the L-filter (expressed as resistance and…
