State Switched Discrete-Time Model and Digital Predictive Voltage Programmed Control for Buck Converters

Wei Wang, Gaoshuai Shen, Run Min, Qiaoling Tong, Qiao Zhang and Zhenglin Liu
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Wei Wang: Shanghai Institute of Satellite Engineering, Shanghai 200240, China
Gaoshuai Shen: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Run Min: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Qiaoling Tong: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Qiao Zhang: School of Automation, Wuhan University of Technology, Wuhan 430074, China
Zhenglin Liu: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2020, vol. 13, issue 13, 1-21

Abstract: Switched mode power converters are nonlinear systems, and it is a constant challenge to improve their modeling accuracy and control performance. In this paper, a State Switched Discrete-time Model (SSDM) is proposed, which achieves a higher accuracy at a high frequency than that of conventional state averaged models. Instead of averaging the converter states for approximation, the states within each switching cycle are considered in the modeling. Based on total differential equations of switching-ON and switching-OFF durations, the inductor current and output voltage within a cycle are accurately calculated, which derives the SSDM. Furthermore, a Digital Predictive Voltage Programmed (DPVP) control strategy is derived through the SSDM. Through voltage prediction, a suitable duty ratio is calculated that regulates the output voltage to its reference value in the minimum switching cycles. In this way, the converter achieves a very fast load/line transient response and reference tracking speed, and it exhibits a high stability under deviated inductance. Finally, the accuracy of SSDM and the system stability are proved by frequency response analyses and experiments.

Keywords: buck; DC-DC; discrete-time model; digital 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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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