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Model predictive control of input-series output-parallel dual active bridge converters based DC transformer
IET Power Electronics ( IF 1.7 ) Pub Date : 2020-04-23 , DOI: 10.1049/iet-pel.2019.1061
Hang Zhang 1, 2 , Yaohua Li 1, 2 , Zixin Li 1, 2 , Cong Zhao 1 , Fanqiang Gao 1, 2 , Yujie Hu 1, 2 , Long Luo 1, 2 , Kedong Luan 1, 2 , Ping Wang 1
Affiliation  

DC transformer (DCT) which is composed of dual active bridge (DAB) converters, is capable of fulfiling high-ratio voltage conversion between the medium-voltage dc distribution and low-voltage dc distribution. A model predictive control (MPC) strategy was proposed for the DAB-DCT to improve dynamic performance and achieve a proper power distribution, considering the bidirectional power of DCT. The traditional voltage closed-loop control scheme with the single-phase shift (SPS) and the MPC scheme with SPS are compared on a downscale DAB-DCT laboratory prototype, using PowerPC P2020 + FPGA_6SL X45 as the core controller. The excellent dynamic characteristics of DCT with proposed MPC strategy is verified by extensive experimental results.

中文翻译:

基于直流变压器的输入串联输出并联双有源桥变换器的模型预测控制

由双有源桥(DAB)转换器组成的直流变压器(DCT)能够实现中压直流配电和低压直流配电之间的高比率电压转换。考虑到DCT的双向功率,为DAB-DCT提出了一种模型预测控制(MPC)策略,以改善动态性能并实现适当的功率分配。在PowerPC P2020 + FPGA_6SL X45作为核心控制器的情况下,在小型DAB-DCT实验室原型上比较了传统的具有单相移(SPS)的电压闭环控制方案和具有SPS的MPC方案。广泛的实验结果证明了采用提出的MPC策略的DCT的出色动态特性。
更新日期:2020-04-23
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