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

• Main Authors: Hui Yang, Rui Tu, Ke Wang, Jiaxing Lei, Wenjia Wang, Shuang Feng, Chaofan Wei
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: Energies
• Subjects: more electric aircraft; dc microgrid; current source converter; deadbeat predictive control; finite-set model predictive control
• Online Access: https://www.mdpi.com/1996-1073/12/21/4025

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.