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
  • [1] A neural network adaptive estimator of position and speed for permanent magnet linear synchronous motor
    Sun Huiying
    Yu Peiqiong
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2651 - 2653
  • [2] Neural Network-Sliding Mode Control of Permanent Magnet Synchronous Linear Motor
    Li Long
    Gu Zhongping
    Tian Jingfeng
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 3061 - 3064
  • [3] NEURAL NETWORK BASED SCALAR SPEED CONTROL OF LINEAR PERMANENT MAGNET SYNCHRONOUS MOTOR
    Otkun, Ozcan
    Dogan, Ramazan Ozgur
    Akpinar, Adem Sefa
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2015, 30 (03): : 395 - 404
  • [4] RBF Neural Network Application in Internal Model Control of Permanent Magnet Synchronous Motor
    Liu, Guohai
    Chen, Lingling
    Dong, Beibei
    Zhao, Wenxiang
    ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT III, 2011, 6677 : 68 - 76
  • [5] VECTOR CONTROL OF PERMANENT MAGNET SYNCHRONOUS LINEAR MOTOR BASED ON IMPROVED BP NEURAL NETWORK
    Li, Yi
    Yu, Yuheng
    Hu, Xinyu
    Liu, Xianguo
    MECHATRONIC SYSTEMS AND CONTROL, 2021, 49 (02): : 109 - 114
  • [6] Modeling of a concrete vibration platform with a linear electrical permanent magnet motor
    Belikova, Yu. O.
    Bondar, R. P.
    Golenkov, G. M.
    Podoltsev, A. D.
    ELECTRICAL ENGINEERING & ELECTROMECHANICS, 2011, (04) : 16 - 20
  • [7] A hybrid nonlinear autoregressive neural network for permanent-magnet linear synchronous motor identification
    Gang, L
    Yu, F
    ICEMS 2005: PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3, 2005, : 310 - 314
  • [8] Analysis of Tubular Linear Permanent Magnet Motor for Drilling Application
    Zhang, Shujun
    Norum, Lars
    Nilssen, Robert
    2009 INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS 2009), 2009, : 133 - 137
  • [9] Hamiltonian Method in the Application of Permanent Magnet Linear Motor Control
    Li, S.
    Zhi, C. Y.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2015), 2015, 13 : 418 - 420
  • [10] Application of Neural Network in Parameters Optimization of Permanent Magnet Synchronous Motor Model Predictive Control
    Liao, Licheng
    Feng, Ling
    Wen, Yuliang
    Du, Kaibing
    6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021), 2021, : 744 - 747
12345