Sliding Mode Regulation of a Boost Circuit for DC-Biased Sinusoidal Power Conversion

Abstract

The boost converter is mostly used as a DC–DC converter, but two boost converter power stages can be configured to perform the DC–AC conversion. In this case, the control system of the power stage must be designed for trajectory tracking (instead of regulation), which brings interesting challenges. This work deals with the design of a higher-order sliding mode output regulator for a DC-biased sinusoidal power conversion problem on a single boost converter stage of a boost inverter for asymptotic trajectory tracking of the voltage capacitor. The steady-state reference signal for the inductor current is proposed as an approximated solution of the well-known Francis–Isidori–Byrnes equations. The used approach is the direct control of the output, where the nonminimum phase variable, i.e., an adequate sliding function, stabilizes the current through the inductor. Lastly, by means of real-time experimentation, the good performance of the proposed control strategy is verified.

Circle Search Algorithm-Based Super Twisting Sliding Mode Control for MPPT of Different Commercial PV Modules

“…The sliding mode theory is a highly well-suited application for DC-DC converters since they are inherently changeable structure systems whose topology changes while operating. Moreover, the SMC is a nonlinear control technique that provides a potential solution for achieving precise and effective control of power converters in many power electronics applications [49]. It defines the sliding surface according to the system's control goals, which are associated with the errors between the measured and reference variables since the control scheme pursues to lessen the error to zero, in contrast to a standard PI controller, which has relatively weak stability and robustness against load disturbances, variations in the converter input voltage, and parameter uncertainties.…”

Enhanced Trajectory Tracking via Disturbance-Observer-Based Modified Sliding Mode Control

“…Accurately tracking trajectories is a challenging task for control engineers. Designing controllers for real-life problems is demanding due to the nonlinear nature of the system [1][2][3][4][5][6][7][8][9]. Real systems are affected by perturbations, which are the sum of system uncertainties, modeling errors, and external disturbances.…”