Fuzzy Event-Triggered Control for Back-to-Back Converter Involved PMSG-Based Wind Turbine Systems

The main objective of this study is to focus on 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. The mathematical methods are 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 rotational speed of the shaft that results in nonlinearities. The Takagi–Sugeno fuzzy approach is considered to be an effective tool to approximate the nonlinear model into local linear submodels without compromising the system characteristics. In general, WECSs are networked to each other, the event-triggered-based control (ETC) is considered to be an appropriate control regarding the reduction of packet loss and the ability to ensure the stable performance of the WECSs in an effective manner. The main advantage of utilizing the ETC is that it will activate the controllers with a user-designed event-triggering condition that helps to restrict the unnecessary network transmissions and reduce the leakages. By the virtue of the fuzzy Lyapunov function, intensive attention is focused on deriving the theoretical-based sufficient conditions in terms of solvable linear matrix inequalities, which ensure the global stability of the closed-loop model based on the Lyapunov stability theory. Detailed numerical simulations are performed with an experimental range of system parameters that illustrate the effectiveness of the proposed ETC scheme.