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

被引：39
|
作者：
Lin, FJ [1 ]
Wai, RJ
机构：
[1] Natl Dong Hwa Univ, Dept Elect Engn, Hualien 974, Taiwan
[2] Yuan Ze Univ, Dept Elect Engn, Chungli 320, Taiwan
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2002年 / 17卷 / 04期
关键词：
adaptive control; dead-time compensator; fuzzy neural network; induction spindle motor; synchronous pulse-width modulation;
D O I：
10.1109/TEC.2002.805225
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An induction spindle motor drive using synchronous pulse-width modulation (PWM) and, dead-time compensatory 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. The backpropagation algorithm is used to train the FNNI online. Moreover, the effectiveness of the proposed induction spindle motor-drive system is demonstrated using some simulated and experimental results.
引用
收藏
页码：507 / 513
页数：7
相关论文
共 50 条
  • [1] Adaptive fuzzy-neural-network control for induction spindle motor drive
    Lin, FJ
    Wai, RJ
    Tzeng, MS
    [J]. IPEMC 2000: THIRD INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-3, PROCEEDINGS, 2000, : 990 - 995
  • [2] Robust Petri fuzzy-neural-network control for linear induction motor drive
    Wai, Rong-Jong
    Chu, Chia-Chin
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) : 177 - 189
  • [3] Indirect field-oriented linear induction motor drive with Petri fuzzy-neural-network control
    Wai, RJ
    Chu, CC
    [J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLS 1-5, 2005, : 378 - 383
  • [4] An adaptive fuzzy-neural-network controller for ultrasonic motor drive using the LLCC resonant technique
    Lin, FJ
    Wai, RJ
    Lin, HH
    [J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 1999, 46 (03) : 715 - 727
  • [5] Adaptive fuzzy-neural-network control for a DSP-based permanent magnet linear synchronous motor servo drive
    Lin, Faa-Jeng
    Shen, Po-Hung
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (04) : 481 - 495
  • [6] Sensorless induction spindle motor drive using fuzzy neural network speed controller
    Lin, FJ
    Yu, JC
    Tzeng, MS
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2001, 58 (03) : 187 - 196
  • [7] Adaptive fuzzy-neural-network control for maglev transportation system
    Wai, Rong-Jong
    Lee, Jeng-Dao
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 19 (01): : 54 - 70
  • [8] A DSP-based permanent magnet linear synchronous motor servo drive using adaptive fuzzy-neural-network control
    Lin, FJ
    Shen, PH
    [J]. 2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, : 601 - 606
  • [9] Adaptive Super-Twisting Sliding-Mode Control via TSK-Petri Fuzzy-Neural-Network for Induction Motor Servo Drive System
    El-Sousy, Fayez F. M.
    Aziz, Ghada A. Abdel
    Amin, Mahmoud M.
    Mohammed, Osama A.
    [J]. 2020 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2020,
  • [10] An adaptive speed control for induction motor drive using fuzzy neural network based on fuzzy hierarchy error approach
    Wu, AI
    Tam, PKS
    [J]. IEMDC'99 - IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, PROCEEDINGS, 1999, : 284 - 286
12345