Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter

Zhenbin Zhang; Fengxiang Wang; Guangye Si; Ralph Kennel

doi:10.1109/SPEC.2016.7846202

Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter

Zhenbin Zhang, Fengxiang Wang, Guangye Si, Ralph Kennel

Chair of High-Power Converter Systems

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

10 Scopus citations

Abstract

This paper presents a deadbeat-like predictive encoderless control method for back-to-back power converter permanent-magnet synchronous generator (PMSG) wind turbine systems with Extended Kalman Filter (EKF). The generator state variables are estimated through an EKF observer requiring neither the knowledge of mechanical parameters nor the initial position of the rotor. The estimated speed and position are fed into a deadbeat predictive controller using SVM. The grid side control is realized by a deadbeat predictive power controller requiring little tuning efforts. Both the estimator and predictive controllers are implemented on a fully FPGA based platform, using the single-cycle-timed-loop technique, achieving very short calculating time. The effectiveness of the presented method is verified with experimental data.

Original language	English
Title of host publication	2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509015467
DOIs	https://doi.org/10.1109/SPEC.2016.7846202
State	Published - 2016
Event	2nd IEEE Annual Southern Power Electronics Conference, SPEC 2016 - Auckland, New Zealand Duration: 5 Dec 2016 → 8 Dec 2016

Publication series

Name	2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016

Conference

Conference	2nd IEEE Annual Southern Power Electronics Conference, SPEC 2016
Country/Territory	New Zealand
City	Auckland
Period	5/12/16 → 8/12/16

Access to Document

10.1109/SPEC.2016.7846202

Cite this

Zhang, Z., Wang, F., Si, G., & Kennel, R. (2016). Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter. In 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016 Article 7846202 (2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPEC.2016.7846202

Zhang, Zhenbin ; Wang, Fengxiang ; Si, Guangye et al. / Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter. 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016).

@inproceedings{05c91bd31dff430c9dd3ade53c75b725,

title = "Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter",

abstract = "This paper presents a deadbeat-like predictive encoderless control method for back-to-back power converter permanent-magnet synchronous generator (PMSG) wind turbine systems with Extended Kalman Filter (EKF). The generator state variables are estimated through an EKF observer requiring neither the knowledge of mechanical parameters nor the initial position of the rotor. The estimated speed and position are fed into a deadbeat predictive controller using SVM. The grid side control is realized by a deadbeat predictive power controller requiring little tuning efforts. Both the estimator and predictive controllers are implemented on a fully FPGA based platform, using the single-cycle-timed-loop technique, achieving very short calculating time. The effectiveness of the presented method is verified with experimental data.",

author = "Zhenbin Zhang and Fengxiang Wang and Guangye Si and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE Annual Southern Power Electronics Conference, SPEC 2016 ; Conference date: 05-12-2016 Through 08-12-2016",

year = "2016",

doi = "10.1109/SPEC.2016.7846202",

language = "English",

series = "2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016",

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Zhang, Z, Wang, F, Si, G & Kennel, R 2016, Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter. in 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016., 7846202, 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE Annual Southern Power Electronics Conference, SPEC 2016, Auckland, New Zealand, 5/12/16. https://doi.org/10.1109/SPEC.2016.7846202

Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter. / Zhang, Zhenbin; Wang, Fengxiang; Si, Guangye et al.
2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7846202 (2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016).

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

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AU - Zhang, Zhenbin

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AU - Si, Guangye

AU - Kennel, Ralph

PY - 2016

Y1 - 2016

N2 - This paper presents a deadbeat-like predictive encoderless control method for back-to-back power converter permanent-magnet synchronous generator (PMSG) wind turbine systems with Extended Kalman Filter (EKF). The generator state variables are estimated through an EKF observer requiring neither the knowledge of mechanical parameters nor the initial position of the rotor. The estimated speed and position are fed into a deadbeat predictive controller using SVM. The grid side control is realized by a deadbeat predictive power controller requiring little tuning efforts. Both the estimator and predictive controllers are implemented on a fully FPGA based platform, using the single-cycle-timed-loop technique, achieving very short calculating time. The effectiveness of the presented method is verified with experimental data.

AB - This paper presents a deadbeat-like predictive encoderless control method for back-to-back power converter permanent-magnet synchronous generator (PMSG) wind turbine systems with Extended Kalman Filter (EKF). The generator state variables are estimated through an EKF observer requiring neither the knowledge of mechanical parameters nor the initial position of the rotor. The estimated speed and position are fed into a deadbeat predictive controller using SVM. The grid side control is realized by a deadbeat predictive power controller requiring little tuning efforts. Both the estimator and predictive controllers are implemented on a fully FPGA based platform, using the single-cycle-timed-loop technique, achieving very short calculating time. The effectiveness of the presented method is verified with experimental data.

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M3 - Conference contribution

AN - SCOPUS:85015271513

T3 - 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016

BT - 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE Annual Southern Power Electronics Conference, SPEC 2016

Y2 - 5 December 2016 through 8 December 2016

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Zhang Z, Wang F, Si G, Kennel R. Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter. In 2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7846202. (2016 IEEE 2nd Annual Southern Power Electronics Conference, SPEC 2016). doi: 10.1109/SPEC.2016.7846202

Predictive encoderless control of back-to-back converter PMSG wind turbine systems with Extended Kalman Filter

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