Open AccessNie–Tan fuzzy method of fault‐tolerant wind energy conversion systems via sampled‐data control
Author(s) -
Gunasekaran Nallappan,
Joo Young Hoon
Publication year - 2020
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.2019.0816
Subject(s) - control theory (sociology) , fuzzy logic , mathematics , controller (irrigation) , actuator , stability theory , variable speed wind turbine , fuzzy control system , computer science , nonlinear system , control (management) , engineering , mechanical engineering , physics , quantum mechanics , artificial intelligence , permanent magnet synchronous generator , magnet , agronomy , biology
In this study, the stabilisation of fault‐tolerant control problem for the variable speed wind turbine (VSWT) model has been investigated with actuator faults by incorporating a Takagi–Sugeno fuzzy technique. To deal with the non‐linear behaviour of VSWT, Nie–Tan fuzzy logic membership is proposed. The sampled‐data input is changed over into a time‐delay term by input delay methodology, and the time delay caused by signal transmission is likewise overseen here. Based on Lyapunov–Krasovskii function theory, a new relaxed sufficient condition with less linear matrix inequality constraints is derived. According to this criterion, a Nie–Tan fuzzy logic controller has been devised to ensure that the closed‐loop system is asymptotically stable. Finally, based on the parameter values, the numerical simulations are performed to validate the derived theoretical results.