Synchronization of Chaotic-Oscillation Permanent Magnet Synchronous Generators Networks via Adaptive Impulsive Control

This brief presents an adaptive impulsive control scheme for the chaotic-oscillation permanent magnet synchronous generators networks based on theories of complex networks. First, the parameter conditions of the chaotic permanent magnet synchronous generator model are presented, and the coupled dynamic networks is constructed based on Newman-Watts small-world network algorithm. After then, the adaptive impulsive control theory of complex networks is analyzed. Based on the equidistant impulsive control scheme and the adaptive feedback control scheme, a suitable impulsive control gain matrix, impulsive time and the adaptive feedback controller are designed to illustrate the synchronization of the chaotic-oscillation wind generator networks. Theoretical analysis and simulation results demonstrate that the designed adaptive impulsive controllers are efficient to improve the stability and convergence time of the network.