Direct Torque Control Scheme for Induction Motor Using Fuzzy Logic Control

摘要

An improvement of the Conventional Direct Torque Control (CDTC) of an induction machine is presented using the artificial intelligence. The DTC of induction machine gives an acceptable tracking scheme for both electromagnetic torque and stator flux. However, conventional DTC scheme which uses hysteresis controllers and switching table, suffers from large torque and flux ripples. In this design, the hysteresis comparator and the space voltage vector selector of traditional direct torque control system are replaced by fuzzy logic controller (FLC). The FLC introduced uses a reduced number of fuzzy inference rules that helps in the reduction of the FLC computation time. The improvement is thus made by reducing the torque and stator flux ripples in induction machine drive. The performance of the proposed system has been analyzed and compared with CDTC through simulation using MATLAB/Simulink package.