New Dynamic Fuzzy High Gain Observer Combined with a Nonlinear Control Approach for Performance Enhancement in WECS Based on DFIG: Design and DSP Implementation

Abstract

The main purpose of this article is to develop and to implement on a TMS320F28335 Digital Signal Processor (DSP) a new robust nonlinear observer combined with a backstepping approach for wind energy conversion systems using grid-connected Doubly Fed Induction Generator (DFIG). The principal objective of this work is to synthesize a robust non-linear observer associated with a non-linear control law to realize the wind system control, based on DFIG, with the use of sensor minima. The backstepping approach is being implemented in order to improve setpoint tracking, ensure stability, robustness to any variations in parameters and disturbance rejection. A robust nonlinear observer based on a high gain dynamic fuzzy observer (DFHGO) is designed to solve the major problem of some observers’ approach especially the destabilizing effect of the peak phenomenon. To validate the proposed observer, a co-simulation platform (MATLAB/Simulink and DSP) is elaborated. The simulation results of the synthesis observers as well as its DSP implementation in the loop show that this enhanced combination increases the above-mentioned performance.