A novel LMI-based robust adaptive model predictive control for DFIG-based wind energy conversion system

Abstract

In wind turbine systems, the optimal, effective and robust operation of the doubly fed induction generator (DFIG) is especially important. This paper presents a new robust adaptive control method for DFIG generator in a variety of operating conditions. First, an adaptive observer is used for parametric uncertainty, external disturbances and nonlinear terms effects estimation with reasonable assumptions. Then through obtained estimation and using the LMI method, the robust adaptive model predictive control controller is designed for DFIG dynamics and its robust stability is shown against the mentioned effects. Simulation results indicate that the proposed controller is capable to meet the required specifications for active and reactive power control of DFIG in different operating conditions.