A Hybrid Intelligent Control of A Doubly Fed Asynchronous Generator in Wind Turbine

Abstract

This paper presents an A Hybrid Intelligent control of a doubly fed asynchronous machine (DFAM) is proposed. First, a mathematical model of DFAM written in an appropriate d q reference f rame is established to investigate simulations results. and to maintain the constant voltage of the DC link. Performance is also tested in different situations. In order to control the rot ary currents from DFAM, the torque tracking control law is manufact ured using PI controllers; the stator side power factor is controlled at unity level. Specifically neuro fuzzy systems are created to overcome the disadvantages of neural networks and The effectiveness of the proposed control strategy is evaluated under di fferent operating conditions such as reference speed and torque step changes at nominal parameters and in the presence of a difference in the parameter. Simulation results show that the mysterious logical console is stronger than the traditional IP console in the face of differing parameters and uncertainty, and is less sensitive to torque disturbance in external load with a rapid dynamic response; Its simulated displays are then compared to the performance of th e classic PI controller