The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations

© 2016 Springer Science+Business Media DordrechtThis paper studies the dynamic evolution behaviors of the hydro-turbine governing system by using Adams–Bashforth–Moulton algorithm. Based on the non-autonomous dynamic model of the hydro-turbine governing system, the effects of the frequency and inten...

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Main Authors: Zhang, H., Chen, D., Xu, B., Wu, Changzhi, Wang, X.
Format: Journal Article
Published: Spinger 2016
Online Access:http://hdl.handle.net/20.500.11937/50973
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author Zhang, H.
Chen, D.
Xu, B.
Wu, Changzhi
Wang, X.
author_facet Zhang, H.
Chen, D.
Xu, B.
Wu, Changzhi
Wang, X.
author_sort Zhang, H.
building Curtin Institutional Repository
collection Online Access
description © 2016 Springer Science+Business Media DordrechtThis paper studies the dynamic evolution behaviors of the hydro-turbine governing system by using Adams–Bashforth–Moulton algorithm. Based on the non-autonomous dynamic model of the hydro-turbine governing system, the effects of the frequency and intensity of periodic excitation on the dynamic characteristics of the hydro-turbine governing system are analyzed in detail. Due to the different scales between the natural frequency and the excitation frequency, the fast-slow effect is obviously found on the behavior of the system under different motion modes. Furthermore, the influence rules of the fast-slow effect for the dynamic behavior of the hydro-turbine governing system are given. The results of the study can contribute to the optimization analysis and control of the hydro-turbine governing system in practical process.
first_indexed 2025-11-14T09:46:16Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:46:16Z
publishDate 2016
publisher Spinger
recordtype eprints
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spelling curtin-20.500.11937-509732017-09-13T15:34:25Z The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations Zhang, H. Chen, D. Xu, B. Wu, Changzhi Wang, X. © 2016 Springer Science+Business Media DordrechtThis paper studies the dynamic evolution behaviors of the hydro-turbine governing system by using Adams–Bashforth–Moulton algorithm. Based on the non-autonomous dynamic model of the hydro-turbine governing system, the effects of the frequency and intensity of periodic excitation on the dynamic characteristics of the hydro-turbine governing system are analyzed in detail. Due to the different scales between the natural frequency and the excitation frequency, the fast-slow effect is obviously found on the behavior of the system under different motion modes. Furthermore, the influence rules of the fast-slow effect for the dynamic behavior of the hydro-turbine governing system are given. The results of the study can contribute to the optimization analysis and control of the hydro-turbine governing system in practical process. 2016 Journal Article http://hdl.handle.net/20.500.11937/50973 10.1007/s11071-016-3208-0 Spinger restricted
spellingShingle Zhang, H.
Chen, D.
Xu, B.
Wu, Changzhi
Wang, X.
The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title_full The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title_fullStr The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title_full_unstemmed The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title_short The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
title_sort slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
url http://hdl.handle.net/20.500.11937/50973