Adaptive Integral Sliding Mode Control Based Radial Basis Function Network for Bidirectional Isolated Dual Active Bridge Converter

In this paper, a novel adaptive integral sliding mode control (AISMC) scheme based on radial basis function network (RBFN) for bidirectional isolated dual active bridge (DAB) converter is proposed to enhance the robustness to system uncertainty and load variance. Firstly, a dynamic model of DAB converter is constructed. Secondly, to save the current sensor cost, a RBFN is utilized to approximate the model uncertainty and load variance. In addition, an adaptive law is designed to adjust the weight vector of RBFN for maintaining the control system in asymptotically stable. Finally, compared with non-integral sliding mode control (NSMC), simulation experimental results verify the robustness and transient response improvement of the proposed AISMC strategy.