Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

Chenhui Yu; Fengxiang Wang; Guiying Lin; Cristian Garcia; Jose Rodriguez

doi:10.1109/IPEMC-ECCEAsia48364.2020.9368149

Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

Chenhui Yu, Fengxiang Wang, Guiying Lin, Cristian Garcia, Jose Rodriguez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.

Original language	English
Title of host publication	2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2622-2626
Number of pages	5
ISBN (Electronic)	9781728153018
DOIs	https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9368149
Publication status	Published - 29 Nov 2020
Event	9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China Duration: 29 Nov 2020 → 2 Dec 2020

Publication series

Name	2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conference

Conference	9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Country/Territory	China
City	Nanjing
Period	29/11/20 → 2/12/20

Keywords

Extended state observer
forgetting factor recursive least squares
model predictive power control
three-level neutral point clamped rectifiers

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/IPEMC-ECCEAsia48364.2020.9368149

Cite this

Yu, C., Wang, F., Lin, G., Garcia, C., & Rodriguez, J. (2020). Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation. In 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia (pp. 2622-2626). [9368149] (2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9368149

Yu, Chenhui ; Wang, Fengxiang ; Lin, Guiying et al. / Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation. 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 2622-2626 (2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia).

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title = "Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation",

abstract = "In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.",

keywords = "Extended state observer, forgetting factor recursive least squares, model predictive power control, three-level neutral point clamped rectifiers",

author = "Chenhui Yu and Fengxiang Wang and Guiying Lin and Cristian Garcia and Jose Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia ; Conference date: 29-11-2020 Through 02-12-2020",

year = "2020",

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day = "29",

doi = "10.1109/IPEMC-ECCEAsia48364.2020.9368149",

language = "English",

series = "2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia",

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Yu, C, Wang, F, Lin, G, Garcia, C & Rodriguez, J 2020, Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation. in 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia., 9368149, 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia, Institute of Electrical and Electronics Engineers Inc., pp. 2622-2626, 9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia, Nanjing, China, 29/11/20. https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9368149

Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation. / Yu, Chenhui; Wang, Fengxiang; Lin, Guiying et al.

2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia. Institute of Electrical and Electronics Engineers Inc., 2020. p. 2622-2626 9368149 (2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

AU - Yu, Chenhui

AU - Wang, Fengxiang

AU - Lin, Guiying

AU - Garcia, Cristian

AU - Rodriguez, Jose

PY - 2020/11/29

Y1 - 2020/11/29

N2 - In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.

AB - In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.

KW - Extended state observer

KW - forgetting factor recursive least squares

KW - model predictive power control

KW - three-level neutral point clamped rectifiers

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T3 - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

SP - 2622

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BT - 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

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Yu C, Wang F, Lin G, Garcia C, Rodriguez J. Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation. In 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia. Institute of Electrical and Electronics Engineers Inc. 2020. p. 2622-2626. 9368149. (2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia). https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9368149

Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

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