Type-2 Fuzzy logic based controllers for indirect vector controlled SVPWM based two-level inverter fed induction motor drive

SVPWM algorithm is used to control a voltage source inverter fed indirect vector controlled induction motor drive to have optimum use of the dc bus voltage and maximum output torque. In indirect vector control method, Type-2 fuzzy logic based speed and current controllers replace the conventional PI based speed and current controllers to achieve good dynamic performance, to minimize the torque ripple during transient and steady state conditions. For Type-2 fuzzy set the third facet Footprint of Uncertainty (FOU) provides additional degree of freedom to handle uncertainties improving the dynamic performance of induction motor. The performance of the drive is investigated at no-load and step change in load. The THD values of line voltage and stator current of motor along with source current THD and the device current ripple of the two-level inverter are compared between conventional PI and Type-2 Fuzzy logic based controllers.