Fuzzy Scheduler Control for Wind Energy Conversion Systems Subject to Parameter Uncertainties
Résumé
This paper addresses the design of Robust Fuzzy Scheduler Controller (RFSC) for nonlinear systems which is robust enough to stabilize an uncertain nonlinear system and gives an acceptable closed-loop performance in presence of parametric uncertainties, disturbances, and state variables unavailable for measurements. The "Takagi-Sugeno" (TS) fuzzy model system with parametric uncertainties is adopted for modeling the nonlinear Hybrid Wind-Diesel Storage System (HWDSS) and establishing fuzzy state observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability and are formulated with Linear Matrix Inequalities (LMIs). To illustrate the effectiveness of the proposed RFSC and the fuzzy observer design methodology, they are applied to a HWDSS subjected to uncertain parameters.