Model-Free Predictive Voltage Control of Dual Active Bridge Converter Based on Compensation Function Observer

Aiming at the problem that the traditional model predictive control of dual active bridge converter depends on the accuracy of system parameters, which leads to the decrease of system control performance, a model-free predictive voltage control strategy based on compensation function observer is proposed. Firstly, the voltage predictive ultra-local model of the dual active bridge converter is constructed which replaces the traditional physical model and reduces the parameter dependence. Then, the compensation function observer is designed to estimate the lumped disturbance in the ultra-local model, and the signal tracker with compensation function is used to compensate the estimation residual of the traditional observer to improve the control accuracy of the system. Finally, the cost function is designed to obtain the optimal shift comparison and realize the model-free predictive voltage control. The simulation results indicate that the proposed method exhibits improved performance in both dynamic and steady-state conditions.