期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：33
期号：2
页码：165-176
出版社：Journal of Theoretical and Applied
摘要：In this paper, we propose an approach intelligent artificial technique for improvement of Direct Torque Control (DTC) of Permanent Magnet Synchronous Motor such as artificial neural network (ANN), applied in switching select voltage vector and estimator flux and torque. This intelligent technique was used to replace, on the one hand the conventional comparators and the switching table in order to reduce torque ripple, flux and stator current. The effect of the speed estimation error is analyzed, and the stability proof of the control system is also proved. The simulations results are presented to show the validity and efficiency of the proposed system.
关键词：Permanent Magnet Synchronous Machine; ANN; Direct Torque Control; DTC_ANN
