Fuzzy Logic Control Based DTC-SVM Adaptive Stator Flux Observer For Induction Motors

Authors:C. ASHOK KUMAR, S. UMA MAHESWARI, C. SUBBA RAMI REDDY

Abstract: A combination of Direct Torque Control (DTC) and Space Vector Modulation (SVM) for an Induction Motor (IM) drive is defined in this paper. A two-level SVPWM inverter is delivered to the induction motor drive. Using IM model in the stator D-Q axes reference frame. The inverter voltage is achieved based on input- output feedback linearization control. This paper signifies a Fuzzy Logic Controller (FLC) for the proposed system. The inputs to the fuzzy logic controller are the variables of speed error and change of speed error whereas the output is change in switching torque. The effectiveness and validity of the proposed control approach, attained from the variable methods those are DTC-SVM and FUZZY LOGIC CONTROL are compared by simulation results. 

Keywords: Direct Torque Control (DTC), Adaptive Stator Flux Observer Feedback Linearization, Robust, Space Vector Modulation, And Fuzzy Logic Control. 

INTRODUCTION 
     Fast dynamic response, strong robustness in the face of parameter uncertainties are used to characterized DIRECT TORQUE CONTROL (DTC). High torque ripple [4] is one of the difficulties of DTC. One of the methods to reduce the torque ripple is Duty ratio control. In duty ratio control, zero voltage vectors are applied for the rest of the period, and a selected output voltage vector is applied for a portion of one sampling period. The space vector modulation method [5], [7] is one of the substitute methods to reduce the torque ripples. The transient merits of DTC are keeping safely by using DTC-SVM and then provide better quality steadystate performance in a wide speed range. To exactly compensate the flux and torque errors to obtain the reference voltage space vector by using SVM technique at each cycle period. Based on the input-output feedback linearization control DTC-SVM scheme for induction motor drive is developed in this paper. 

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