期刊名称：Bulletin of the Institute of Heat Engineering
印刷版ISSN：2083-4187
出版年度：2018
卷号：98
期号：1
页码：70-79
语种：English
出版社：Warsaw University of Technology
摘要：This work relates to a hybrid scheme (Neuro-Fuzzy) for speed control of a dual star induction motor (DSIM) with enhancedperformance. A 4-layer network is utilized to set the Fuzzy elements in order to minimize error square. To control this machine,two five-level inverters with PWM techniques are introduced and an indirect field oriented method is used. Simulation resultsare presented for the NF controller; it is observed that the NFC gives better responses and robustness for the speed controlof this machine with its load disturbances and parameter variations, such as increased rotor resistance and moment ofinertia. The results are compared with results obtained from a conventional inverter. Notably, there is a great drop in thestator currents, and the magnitude of the pulsating electromagnetic torque is reduced for a five-level inverter compared witha conventional inverter.
关键词：Electrical engineering;Dual stars induction machine (DSIM); Indirect field oriented control (IFOC); five-level inverter; Neuro-fuzzy cntroller (NFC).
