Open AccessDisturbance observer‐based integral fuzzy sliding‐mode control and its application to wind turbine system
Author(s) -
Hwang Sounghwan,
Park Jin Bae,
Joo Young Hoon
Publication year - 2019
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2018.5779
Subject(s) - control theory (sociology) , integral sliding mode , fuzzy logic , lyapunov function , fuzzy control system , controller (irrigation) , sliding mode control , turbine , observer (physics) , computer science , mathematics , engineering , nonlinear system , control (management) , artificial intelligence , physics , quantum mechanics , mechanical engineering , agronomy , biology
In this study, a disturbance observer‐based integral fuzzy sliding‐mode control methodology for a wind turbine system with a non‐linear permanent magnet synchronous generator (PMSG) is proposed using the Takagi–Sugeno fuzzy model. To reduce the hardware cost of the fuzzy controller membership function, an imperfect premise matching condition is considered. Considering the matched disturbance, and an external disturbance acting on the system, a novel integral fuzzy sliding surface is proposed based on a fuzzy disturbance observer (FDOB). Therefore, various forms of external disturbances can be estimated using the FDOB. In addition, a sufficient condition for guaranteeing the asymptotic stability of the sliding motion with H ∞performance is proposed using a Lyapunov function and derived using a linear matrix inequality format. Furthermore, a reachability problem of the system states over the proposed sliding surface is derived through an appropriate Lyapunov function. Finally, the simulations for a wind turbine system using a PMSG are implemented to verify the effectiveness of the proposed method as compared with previous studies.