This study analyzes the problem of dissipative-based fuzzy sampled-data control mechanism for variable-speed wind turbine system (WTS) by fragmented-delayed state looped functional (FDSLF) framework. First, the proposed nonlinear variable-speed WTS is transformed into linear subsystems based on the Takagi-Sugeno (T-S) fuzzy approach. Then, the concept of coupling leakage time-varying delay is proposed to construct a more generalized T-S fuzzy model. After that, two novel integral inequalities are introduced to tackle the derivative of the time-dependent looped Lyapunov-Krasovskii functional (LKF). Besides, an improved FDSLF approach is presented such that the considered LKF can contain more information on fragmented-delayed states and sampling intervals from tk to tk+1. Based on this FDSLF approach, some sufficient conditions are derived to ensure the addressed system is asymptotically stable under an optimizing performance index. And then, the desirable control gains are obtained by solving the linear matrix inequalities (LMIs) with bounds of sampling intervals. Finally, the derived conditions are validated with the considered model and verify the effectiveness of the proposed control scheme.