Bin Wang

Dr. Bin Wang

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 May 2016 in Nonlinear Dynamics
Verified
Journal Article
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Bin WangBin Wang
Bin Wang
JDJunling Ding
Junling Ding
FWFengjiao Wu
Fengjiao Wu
DZDelan Zhu
Delan Zhu

1 November 2016 in ISA Transactions
Verified
Journal Article
Closed access
Bin WangBin Wang
Bin Wang
JXJianyi Xue
Jianyi Xue
FWFengjiao Wu
Fengjiao Wu
DZDelan Zhu
Delan Zhu

14 December 2023 in Nonlinear Dynamics
Verified
Journal Article
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FCFei Chen
Fei Chen
LZLiyao Zhang
Liyao Zhang
WLWenshen Liu
Wenshen Liu
TZTingting Zhang
Tingting Zhang
Zhigao ZhaoZhigao Zhao
Zhigao Zhao
Bin WangBin Wang
Bin Wang

21 September 2018 in IET Renewable Power Generation
Verified
Journal Article
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KSKe Shi
Ke Shi
Bin WangBin Wang
Bin Wang
HCHaoyong Chen
Haoyong Chen
This study focuses on a fuzzy generalised predictive control method for a fractional‐order hydro‐turbine regulating system (HTRS). Based on the Grünwald–Letnikov (G–L) definition of fractional calculus and discretisation, the fractional‐order hydraulic servo system is transformed into the standard controlled autoregressive integrating moving average (CARMA) model. With the help of fuzzy linearisation theory, the fuzzy predictive model of the integer‐order part of the HTRS is presented. Furthermore, by using the fourth‐order Runge–Kutta algorithm, the obtained fuzzy predictive model can be easily transformed into the CARMA model. Then, based on the overall CARMA model and the generalised predictive control theory, a novel nonlinear fuzzy generalised predictive controller is designed for the fractional‐order HTRS. Finally, numerical simulations are implemented to verify the validity and superiority of the proposed method. It also provides a reference for relevant hydropower systems.


5 February 2019 in IET Renewable Power Generation
Verified
Journal Article
Open access
PDF file
FWFengjiao Wu
Fengjiao Wu
FLFei Li
Fei Li
PCPeng Chen
Peng Chen
Bin WangBin Wang
Bin Wang
This study studies the no‐chattering finite‐time control for a fractional‐order non‐linear hydro‐turbine governing system (HTGS). First, an actual six‐dimensional fractional‐order non‐linear HTGS model is introduced. Then, based on the fractional‐order finite‐time stability theorem and sliding mode control, a novel robust finite‐time terminal sliding mode control scheme is proposed for the fractional‐order non‐linear HTGS. Furthermore, by designing the controller with differential form and introducing the hyperbolic tangent function, the chattering phenomenon is well‐suppressed. Finally, numerical simulations are employed to verify the validity and superiority of the proposed method. It provides a new idea for the stability control of the HTGS and also has a certain reference value for practical engineering application.