Nie-Tan fuzzy method of fault-tolerant wind energy conversion systems via sampled-data control

Abstract

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.