A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems
Linju Li, Lin Xiao, Yongjun He, Qiuyue Zuo
Abstract
With high wind speed, low turbulence, and high output, offshore wind power has gradually become a new area of wind power development. Nevertheless, the chaos phenomenon of offshore wind turbines manifests in some severe environments and the entire power generation system is affected. A variety of projective synchronization schemes are proposed to control this phenomenon, but the research on fixed-time projective synchronization of offshore wind turbine systems (OWTSs) is scant and has flaws in robustness. Motivated by zeroing neural dynamics (ZND) with fixed-time convergence, this article presents a fixed-time robust controller (FXTRC) based on ZND for the projective synchronization of OWTSs. In design process, a novel activation function is constructed to guarantee the projective synchronization speed and enhance the robustness. It is rigorously calculated that the upper bound of the projective synchronization time is only related to system parameters. Furthermore, the projective synchronization progress of OWTSs under the FXTRC displays better robustness compared with other controllers, which is proven by simulation results.