Model Predictive Control of Dual Active Bridge Converter Based on the Lookup Table Method

Abstract

The dual active bridge (DAB) converters are widely used as the pivotal interface in the distributed generation and energy storage systems. In this paper, the lookup table method of the model predictive control (MPC) DAB converter is proposed based on the discrete-time model. The iterative relationship of the state variables is obtained. Part of the complicated predictive process, which hindered the discrete-time model based MPC to be widely applied to the DAB converter before, has been calculated off-line to form a lookup table. Therefore, the accurate predictive control and optimization algorithm can be realized on-line via the proposed lookup table method within one switching cycle. The experiment has also been performed to verify the theoretical analysis and demonstrate the effectiveness of the proposed method.