FPGA-based Implementation of Fuzzy Logic DTC for Induction Motor Drive Fed by Matrix Converter

This paper presents the design and implementation of fuzzy logic-based direct torque control (FLDTC) for matrix converter (MC)-fed induction motor drive. Using Direct Torque Control, it is possible to directly control the electromagnetic torque and stator flux of the induction motor by selecting the optimum switching vectors of the matrix converter. The FLDTC reduces the ripple content in electromagnetic torque, improves the stator current and steady state as well as dynamic response of the induction motor. To test the proposed control scheme, the model of the complete drive is developed in MATLAB/SIMULINK environment. The proposed controller is also implemented in real time using Altium nano board 3000 which is mainly based on Xilinx Spartan XC3S1400an-FGG676 Field programmable gate array (FPGA). The simulation and hardware results show the effectiveness of the proposed control scheme. The result demonstrates that the ripple contents in electromagnetic torque are significantly reduced using the proposed fuzzy logic-based controller. The system is stable in steady state as well as in transient conditions within the limits.