Improvements in SVM-DTC of Induction Motor with Fuzzy Logic Controllers Using FPGA.

Direct torque control (DTC) is a simple and robust control algorithm for high performance industrial applications. The conventional DTC suffers from major drawbacks like high torque and flux ripples, variable switching frequency, current distortions during changes in switching sector and poor performance during low speed operations. The problem of the variable switching frequency and the reduction in torque and flux ripples can be achieved using space vector modulation based direct torque control (SVM-DTC). The dynamic performance of the SVMDTC is improved by replacing the constant gain PI speed, flux and torque controllers with fuzzy controllers. In this paper, both SVM-DTC with PI controller and fuzzy controllers are implemented using FPGA. The complete VHDL code for both DTC with PI and Fuzzy controllers is initially developed and simulated and then synthesized using Xilinx ISE 14.3 design tool. The complete developed code of the proposed algorithm is implemented on Spartan 6 XC6SLX25 board. The experimental results depict that an improved dynamic response of the induction motor is achieved in the SVM-DTC of the induction motor using fuzzy logic controllers. [ABSTRACT FROM AUTHOR]