Model Predictive Control Method for Cascaded Bi-Directional DC-DC Converter

doi:10.11985/2017.03.002

Abstract

Abstract:

The cascaded bidirectional DC-DC converter has the advantages of simple structure, high power density, suitable for the higher ratio conversion applications, et al. However, conventional double closed-loop control method has the shortcomings of complicated control structure, difficult PI parameter selection. Accordingly, the model predictive control (MPC) is introduced in this paper. Model predictive control has many advantages, such as simple control concept, easy to contain constraints, easy to imply its controller and so on. Establishing converter models and its possible switching states and defining the cost function are included into this control strategy. In this paper, simulation and experimental verification of model predictive control are carried out and MPC method is compared with conventional double closed-loop method. The experimental results show that MPC can make the voltage of DC bus track the given value accurately. Compared to conventional double closed-loop control method, the overshoot of DC bus voltage in dynamic process can reduce 62.5% and the dynamic response time of converter can reduce 0.3s. Therefore, the feasibility and effectiveness of MPC method are proved.

Key words: Cascaded, bi-directional DC-DC converter, model predictive control, DC bus, cost function

CLC Number:

TM46

Yang Mei,Xiaoqing Li,Weichao Huang. Model Predictive Control Method for Cascaded Bi-Directional DC-DC Converter[J]. Journal of Electrical Engineering, 2017, 12(3): 10-15.

Figures/Tables 12

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名称	参数
蓄电池	20V/12A·h,SOC = 80%
直流母线	U_dc1-ref= 40V,U_dc-ref= 80V
电感	L₁= 5mH,L₂= 5mH

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