Open AccessTakagi–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) , fuzzy logic , computer science , stability (learning theory) , fuzzy control system , turbine , model predictive control , scheme (mathematics) , control (management) , mathematics , engineering , artificial intelligence , mechanical engineering , mathematical analysis , machine learning
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.