Takagi–Sugeno fuzzy generalised predictive control of a time‐delay non‐linear hydro‐turbine governing system | Zendy

Tian Yuqiang | Zendy; Wang Bin | Zendy; Zhu Delan | Zendy; Wu Fengjiao | Zendy

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Takagi–Sugeno fuzzy generalised predictive control of a time‐delay non‐linear hydro‐turbine governing system

Author(s) -

Tian Yuqiang,

Wang Bin,

Zhu Delan,

Wu Fengjiao

Publication year - 2019

Publication title -

iet renewable power generation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.005

H-Index - 76

ISSN - 1752-1424

DOI - 10.1049/iet-rpg.2019.0329

Subject(s) - control theory (sociology) , model predictive control , fuzzy control system , turbine , fuzzy logic , computer science , control engineering , control (management) , engineering , artificial intelligence , mechanical engineering

This study focuses on a fuzzy generalised predictive control (FGPC) method for a time‐delay hydro‐turbine governing system (HTGS). First, based on the time‐delay Takagi–Sugeno fuzzy model, a time‐delay HTGS and its fuzzy prediction model are given. Second, with the help of delay fuzzy linearisation and a fourth‐order Runge–Kutta algorithm, a transformed controlled auto‐regressive integrated moving average model is obtained. Then, a new FGPC scheme for the time‐delay HTGS is proposed. Finally, numerical simulations are implemented to verify the validity and superiority of the proposed method. It also provides a reference for the stability control of relevant hydropower station systems.

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