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Adaptive fuzzy-neural-network control for induction spindle motor drive

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3 Author(s)
Faa-Jeng Lin ; Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan ; Rong-Jong Wai ; Mao-Sheng Tzeng

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 the 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

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Power Electronics and Motion Control Conference, 2000. Proceedings. IPEMC 2000. The Third International  (Volume:2 )

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