Memory Sampled-Data Control for T-S Fuzzy-Based Permanent Magnet Synchronous Generator via an Improved Looped Functional

This study presents a memory sampled-data control design for the Takagi-Sugeno (T-S) fuzzy-based permanent magnet synchronous generator (PMSG) via an improved looped functional (ILF). To do this, first, the nonlinear PMSG is modeled as a T-S fuzzy system. Then, to derive the sufficient criteria, a novel ILF is proposed, which includes the available information about the sampling pattern characteristics from x(t(k)) to x(t) and x(t) to x(t(k+1)) together with the signal transmission delay. In addition, the ILF introduces a fractional parameter 0 < <(beta)over cap> < 1 that gives more information of splited sampling intervals. Also, the external disturbances of the proposed system are attenuated by using the H-infinity performance. Furthermore, the stabilization conditions expressed as linear matrix inequalities (LMIs), the proposed closed-loop system's asymptotic stability is ensured under the designed controller. Finally, comparison and simulation results demonstrate the effectiveness and feasibility of the proposed method and the designed control scheme.