Application of neural network in suppressing mechanical vibration of a permanent magnet linear motor

被引：28
|
作者：
Yousefi, Hassan [1 ]
Hirvonen, Markus [1 ]
Handroos, Heikki [1 ]
Soleymani, Azita [2 ]
机构：
[1] Lappeenranta Univ Technol, Dept Mech Engn, Inst Mechatron & Virtual Engn, FIN-53851 Lappeenranta, Finland
[2] Lappeenranta Univ Technol, Dept Chem Technol, FIN-53851 Lappeenranta, Finland
来源：
CONTROL ENGINEERING PRACTICE | 2008年 / 16卷 / 07期
关键词：
neural networks; genetic algorithms; velocity control; linear motors; Kalman filters;
D O I：
10.1016/j.conengprac.2007.08.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, a recurrent neural network compensator for suppressing inechanical vibration in a permanent magnet linear synchronous motor (PMLSM) is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system, respectively. The proposed control method is firstly designed by using a nonlinear simulation model built in Matlab Sitmulink and then implemented in a practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：787 / 797
页数：11
相关论文
共 50 条
  • [31] Neural network adaptive super twist terminal sliding mode control for a permanent magnet linear synchronous motor
    Xu, Dezhi
    Huang, Bomin
    Yang, Weilin
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (13): : 64 - 71
  • [32] RADIAL BASIS FUNCTION NETWORK BASED AUTOMATIC GENERATION FUZZY NEURAL NETWORK CONTROLLER FOR PERMANENT MAGNET LINEAR SYNCHRONOUS MOTOR
    Lu, Hung-Ching
    Chang, Ming-Hung
    Liu, Hsikuang
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 3279 - 3284
  • [33] Mechanical vibration and stress analysis of the link of interior permanent magnet type synchronous motor
    Ha, KH
    Hong, JP
    Kim, GT
    Choi, YH
    Chung, WJ
    IEMDC'99 - IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, PROCEEDINGS, 1999, : 150 - 152
  • [34] The Shape Design of Interior Type Permanent Magnet BLDC Motor for Minimization of Mechanical Vibration
    Kang, Gyu-Hong
    Hur, Jin
    Kim, Woo-Byoung
    Lee, Byoung-Kuk
    2009 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION, VOLS 1-6, 2009, : 3096 - +
  • [35] Equivalent magnetic network of a transverse-flux permanent magnet linear motor
    Fu, D.
    Gillon, F.
    Xu, Y.
    Bracikowski, N.
    Gong, J.
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 2157 - 2163
  • [36] Demagnetization fault detection of permanent magnet synchronous motor with convolutional neural network
    Eker, Mustafa
    Gundogan, Binnaz
    ELECTRICAL ENGINEERING, 2023, 105 (03) : 1695 - 1708
  • [37] Probabilistic neural network with statistical feature for fault diagnosis of permanent magnet motor
    Dong, Lei
    Li, Weimin
    Zhao, Weiguo
    Chen, Yunfei
    Computer Modelling and New Technologies, 2014, 18 (11): : 1261 - 1265
  • [38] Demagnetization fault detection of permanent magnet synchronous motor with convolutional neural network
    Mustafa Eker
    Binnaz Gündogan
    Electrical Engineering, 2023, 105 : 1695 - 1708
  • [39] Fuzzy Neural Network Control for a Permanent Magnet Synchronous Motor Drive System
    Lin, Chih-Hong
    Lin, Chih-Peng
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 2709 - +
  • [40] Predicting Temperature of Permanent Magnet Synchronous Motor Based on Deep Neural Network
    Guo, Hai
    Ding, Qun
    Song, Yifan
    Tang, Haoran
    Wang, Likun
    Zhao, Jingying
    ENERGIES, 2020, 13 (18)
12345