Fuzzy Event-triggered Control for Back to Back Converter involved PMSG-based Wind Turbine Systems

TLDR: Dynamical analysis of full-scale direct-driven permanent magnet synchronous generator-based wind energy conversion systems (WECSs) configured with back to back voltage source converters (VSCs) shows the effectiveness of event-triggered-based control (ETC) scheme in WECS.

Abstract: The main objective of this study is to focus on dynamical analysis of full-scale direct-driven permanent magnet synchronous generator (PMSG)-based wind energy conversion systems (WECSs) configured with back to back (BTB) voltage source converters (VSCs). The mathematical methods have employed to discuss the properties WECSs in a theoretical manner, which are proven to be cost-effective. It can be seen that the considered model contains the nonlinearities in terms of currents and rotation speed of shaft. The Takagi-Sugeno (T-S) fuzzy approach is considered to be an effective tool to approximate those nonlinearities into local linear form without compromising the model characteristics. Technically, WECSs are networked to each other, hence event-triggered-based control (ETC) scheme is appropriate in terms of reducing of packet loss and enhancing the stable performance of the WECSs in an effective manner. Further, ETC scheme provides the user-designed condition to activate the controllers that helps to restrict the unnecessary network transmissions and minimize the leakages. Theoretically, by the virtue of fuzzy Lyapunov function, intensive attention is focused on deriving the theoretical-based sufficient conditions in terms of solvable linear matrix inequalities (LMIs), which ensure the global stability of the closed-loop model based on Lyapunov stability theory. Detailed numerical simulations are performed with an experimental range of model parameters that evidence the effectiveness of the proposed ETC scheme in WECS.