Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Hydropower unit model identification using the field data

Authors
Jiafu Wei, Xingran Guo, Changli Wu, Yuanchu Cheng, Liangliang Qiao, Guili Zou
Corresponding Author
Jiafu Wei
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.84How to use a DOI?
Keywords
hydropower unit, ARMA, least square method, model identification
Abstract

A model identification method of hydropower unit (HU) based on Auto-Regressive and Moving Average (ARMA) has been proposed. The ARMA model coefficients were obtained by least square method. Using the proposed method, the parameters ey, e, and eqh of hydro turbine can be calculated. Experiment results show that the model identification simulations were consistent with the measured data of field tests.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.84
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.84How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiafu Wei
AU  - Xingran Guo
AU  - Changli Wu
AU  - Yuanchu Cheng
AU  - Liangliang Qiao
AU  - Guili Zou
PY  - 2017/03
DA  - 2017/03
TI  - Hydropower unit model identification using the field data
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 550
EP  - 555
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.84
DO  - 10.2991/ifmca-16.2017.84
ID  - Wei2017/03
ER  -