Improved dynamic performance of type-2 fuzzy based DTC induction motor using SVPWM

This paper presents space vector PWM (SVPWM) technique for Direct torque Control of induction motor drive, SVPWM gives the lower ripples in current and voltage with low torque distortion. Further the switching losses are reduced for a given switching frequency due to single switching transition takes place in each state of the vector. The PI-control (PIC) doesn't give the good dynamic performance of the induction motor drive using two level Voltage Source Inverter due to sudden changes in the load and speed. Further, to improve dynamic performance in the torque and Flux of induction motor drive is simulated using type-2 fuzzy logic control in place of PI-Control. The concept of type-2 fuzzy set initially proposed as an extension of classical (type-1) fuzzy sets. Type-2 fuzzy sets are very useful in circumstances where it is difficult to determine an exact membership function for a fuzzy set; hence, they are very effective for dealing with uncertainties. However, type-2 fuzzy sets are more difficult to understand than type-1 fuzzy sets. Even in the face of these difficulties, type-2 fuzzy logic has found applications in many fields like decision making in critical load.