FUZZY LOGIC CONTROLLER BASED ON AN INDIRECT VECTOR CONTROL OF INDUCTION GENERATOR

Abstract

This study focuses on the modeling and control of a Dual Star Asynchronous Machine (DSAM) integrated into a wind energy conversion system. In the first stage, a detailed overview of wind turbine technologies, components, and power characteristics is presented. The DSAM is then mathematically modeled in a two-axis reference frame using Park transformation, and its behavior is analyzed through voltage, magnetic, and mechanical equations. Subsequently, an indirect vector control strategy is applied, allowing decoupled control of flux and electromagnetic torque via rotor flux orientation. To ensure optimal turbine operation and extract maximum wind power, a conventional PI speed controller is implemented. To improve system performance, a fuzzy PI controller is later introduced, enhancing adaptability under variable operating conditions. Finally, simulations are carried out to compare the effectiveness of both control strategies. The results demonstrate the advantages of using fuzzy logic in speed regulation of DSAMs for wind energy applications.