A High-Gain Observer-Based Adaptive Super-Twisting Algorithm for DC-Link Voltage Control of NPC Converters

Xiaoning Shen, Jianxing Liu, Abraham Marquez, Wensheng Luo, Jose I. Leon, Sergio Vazquez and Leopoldo G. Franquelo
Additional contact information
Xiaoning Shen: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Jianxing Liu: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Abraham Marquez: Electronic Engineering Department, Universidad de Sevilla, 41092 Sevilla, Spain
Wensheng Luo: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Jose I. Leon: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Sergio Vazquez: Electronic Engineering Department, Universidad de Sevilla, 41092 Sevilla, Spain
Leopoldo G. Franquelo: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

Energies, 2020, vol. 13, issue 5, 1-16

Abstract: Acting as an interface between the grid and many energy systems, the active front-end (AFE) has been widely used in a large variety of industrial applications. In this paper, in order to ensure the fast dynamic performance and good disturbance rejection ability of the AFE, a high-gain observer (HGO) plus adaptive super-twisting algorithm (STA) for the three-level neutral-point-clamped (NPC) converter is proposed. Comparing with the conventional PI control strategy, the proposed controller implements the adaptive STA in the voltage regulator to provide a faster transient response. The gains of the adaptive STA keep varying according to the rules being reduced in steady state but increasing in transient conditions. Therefore, the chattering phenomenon is mitigated and the dynamic response is guaranteed. Additionally, to undermine the impact of external disturbances on the dc-link voltage, a high-efficiency HGO is designed in the voltage regulation loop to reject it. Experimental results based on a three-level NPC prototype are given and compared with the conventional PI method to validate the fast dynamic performance and high disturbance rejection ability of the proposed approach.

Keywords: high-gain observer; adaptive super-twisting algorithm; three-level NPC converter (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 (1)

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