WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 13, 2018
Hardware Implementation of a Neuro Fuzzy Based DTC-SVM of an Induction Motor on the FPGA
Authors: Souha Boukadida, Soufien Gdaim, Abdellatif Mtibaa
Abstract: The implementation of Direct Torque Control (DTC) in Induction Motor (IM) drives suffers from complex tuning and overshoots problems. One of the various methods to tackle this problem is the use of intelligent controllers like Neuro Fuzzy Controller (NFC). This paper suggests a new approach, NFC based space vector modulation (SVM), on the direct torque controlled IM and aim of the approach is to overcome high torque ripple disadvantages of conventional DTC. The objective of this paper is to present a new method to implement the algorithm of NEURO FUZZY based SVM-DTC on Field Programmable Gate Array (FPGA). The hardware implementation method is based on Xilinx System Generator (XSG) which a modeling tool developed by Xilinx. This tool can automatically generate the VHDL code without resorting to a painful programming without being obliged to do approximations and more we can visualize the behavior of the machine before implementation which is very important for not damage our machine. The simulation results showed that a significant improvement in the dynamic torque and speed responses when compared to the conventional direct torque control method.
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Keywords: Neuro Fuzzy Controller (NFC), Xilinx System Generator (XSG), Direct Torque Control (DTC), Field Programmable Gate Array (FPGA)
Pages: 60-68
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 13, 2018, Art. #6