Adaptive integral sliding mode controller for solid state transformer based on generalized averaged model and T-S fuzzy method

The integrated converter between distributed renewable source and main grid has been widely applied. Although the independent control strategies regarding each submodule of solid state transformer (SST) have been studied, the integrated control based on overall model has not been proposed. To this end, this paper proposes an adaptive integral sliding mode control strategy based on T-S fuzzy method for the single-phase SST to regulate the output voltage and guide the power transmission. First, the overall state-space model based on generalized average method is first built through quasi-Fourier series. It can capture switching ripple compared with conventional model. Furthermore, the built model with uncertainties and nonlinear components is switched as the linear time invariant system through T-S fuzzy method. Meanwhile, the system order can also be reduced, which reduces the complexity of the controller design. Based on this model, an integral sliding mode control approach with rapid dynamic response and strong robustness against perturbations or model uncertainties is proposed. Finally, several simulation and experimental results are provided to validate the performance of the proposed control approach.