Model-Predictive-Control for Dual-Active-Bridge Converters with Triple Phase Shift in Naval Shipboard DC Micro-grids Supplying Pulsed Power Loads

Chen, Linglin; Wang, Zhenyu; Shao, Shuai; Tarisciotti, Luca; Dragicevic, Tomislav; Wheeler, Pat

Abstract

Dedicated Energy Storage System (ESS) has been an integral part of the shipboard micro-grids in naval vessels. Dual-Active-Bridge (DAB) converters are often chosen to be the interface between the ESS and the medium voltage DC bus due to isolation capability and high voltage gain. The efficiency of DAB is subjected to the variation of the terminal voltages. To enhance the efficiency of the DAB when terminal voltages vary from their nominal values, Triple-Phase-Shift (TPS) is commonly utilized. However, the control of the DAB modulated with TPS is challenging since TPS have three phase shift ratios and different operating modes. Thus, DAB can easily become unstable. In order to address this issue, a Moving-Discretized-Control-Set Model-Predictive-Control (MDCS-MPC) is proposed in this letter. The MDCS-MPC can achieve fast dynamics whilst maintain the stability compared to the conventional PI controllers. The operating principle of the MDCS-MPC is introduced in development of a cost function that provides stiff voltage regulation and resilience to sampling noise. An adaptive step is introduced to enable fast and smooth transients. The proposed MDCS-MPC has only two prediction horizons, which allows low computational burden. Experiments on a 20kHz 1kW Dual-Active-Bridge converter are carried out to verify the theoretical claims. Index Terms-Dual-Active-Bridge (DAB), Model Predictive Control (MPC).

Citation

Chen, L., Wang, Z., Shao, S., Tarisciotti, L., Dragicevic, T., & Wheeler, P. (in press). Model-Predictive-Control for Dual-Active-Bridge Converters with Triple Phase Shift in Naval Shipboard DC Micro-grids Supplying Pulsed Power Loads

• Conference Name: 3rd IEEE ICDCM 2019 (International Conference on DC Microgrids)
• Start Date: May 20, 2019
• End Date: May 23, 2019
• Acceptance Date: Dec 7, 2018
• Deposit Date: Apr 24, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Public URL: https://nottingham-repository.worktribe.com/output/1837780
• Related Public URLs: https://power.aitech.ac.jp/ICDCM2019/