A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

Hui Yang, Rui Tu, Ke Wang, Jiaxing Lei, Wenjia Wang, Shuang Feng and Chaofan Wei
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Hui Yang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Rui Tu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Ke Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Jiaxing Lei: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Wenjia Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Shuang Feng: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Chaofan Wei: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2019, vol. 12, issue 21, 1-14

Abstract: A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350–800 Hz AC input and 270 V DC output demonstrate the superior control performance.

Keywords: more electric aircraft; DC microgrid; current source converter; deadbeat predictive control; finite-set model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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