14th International Conference on Sciences and Techniques of Automatic Control &Amp; Computer Engineering - STA'2013 2013
DOI: 10.1109/sta.2013.6783129
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Application of fuzzy logic in DTC scheme using XSG

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Cited by 3 publications
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“…The improved dynamic behavior of fuzzy DTC is concluded on the speed, torque, and flux characteristics alone. Y. Bchir et al [61] also present research on the application of fuzzy logic in a DTC scheme; however, the authors present the use of the Xilinix System Generator (XSG) toolbox in Simulink in order to carry out simulations of the proposed DTC mechanism and deployment of the control system to hardware field programmable gate arrays (FPGAs). The authors present a similar fuzzy logic control structure to that presented in [60]; however, the fuzzy membership functions used for the fuzzification of the stator flux error, the electromagnetic torque error, and the stator flux angle consist of fewer fuzzy sets.…”
Section: ) Integration Of Fuzzy Logic Control Into the Cdtc Systemmentioning
confidence: 99%
“…The improved dynamic behavior of fuzzy DTC is concluded on the speed, torque, and flux characteristics alone. Y. Bchir et al [61] also present research on the application of fuzzy logic in a DTC scheme; however, the authors present the use of the Xilinix System Generator (XSG) toolbox in Simulink in order to carry out simulations of the proposed DTC mechanism and deployment of the control system to hardware field programmable gate arrays (FPGAs). The authors present a similar fuzzy logic control structure to that presented in [60]; however, the fuzzy membership functions used for the fuzzification of the stator flux error, the electromagnetic torque error, and the stator flux angle consist of fewer fuzzy sets.…”
Section: ) Integration Of Fuzzy Logic Control Into the Cdtc Systemmentioning
confidence: 99%