@inproceedings{ee8eceba62b64aeda3adfa765363e71f,
title = "Adaptive fuzzy-neural-network control for induction spindle motor drive",
abstract = "An induction spindle motor drive using synchronous pulse width modulation (PWM) and dead-time compensator techniques with an adaptive fuzzy-neural- network controller (AFNNC) is proposed in this study for advanced spindle motor applications. First, the operating principles of a new synchronous PWM technique and the circuit of dead-time compensator are described in detail. Then, since the control characteristics and motor parameters for high speed operated induction spindle motor drive are time-varying, an AFNNC is proposed to control the rotor speed of the induction spindle motor. In the proposed controller, the induction spindle motor drive system is identified by a fuzzy-neural- network identifier (FNNI) to provide the sensitivity information of the drive system to an adaptive controller. In addition, the effectiveness of the adaptive fuzzy-neural-network (AFNN) controlled induction spindle motor drive system is demonstrated by some simulation and experimental results.",
keywords = "Adaptive control, Fuzzy neural network, Induction spindle motor drive",
author = "Lin, {Faa Jeng} and Wai, {Rong Jong} and Tzeng, {Mao Sheng}",
note = "Publisher Copyright: {\textcopyright} 2000 Int. Acad. Publ., World Publ. Corp.; 3rd International Power Electronics and Motion Control Conference, IPEMC 2000 ; Conference date: 15-08-2000 Through 18-08-2000",
year = "2000",
doi = "10.1109/IPEMC.2000.884650",
language = "???core.languages.en_GB???",
series = "Proceedings - IPEMC 2000: 3rd International Power Electronics and Motion Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "990--995",
editor = "Xiaohua Jiang and Lipei Huang and Zhengming Zhao",
booktitle = "Proceedings - IPEMC 2000",
}