Active control of flexible structures using principal component analysis in the time domain

被引:7
|
作者
Al-Dmour, AS [1 ]
Mohammad, KS [1 ]
机构
[1] Mutah Univ, Coll Engn, Al Karak, Jordan
关键词
D O I
10.1006/jsvi.2001.3747
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Principal component analysis is used to simplify the extraction of the natural frequencies and their corresponding orthonormal mode shapes directly from experimental data of unknown flexible structures. A control law is designed using a state-space modal model and is tested on different structures. The results are extremely encouraging and demonstrate successful implementation of the active control strategies. The controller actuator as well as the detection sensor locations are examined throughout the structure length. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:545 / 569
页数:25
相关论文
共 50 条
  • [1] Robust Analysis for Principal Component Active Control Systems
    Yang, Hao
    Morales, Rafael Mauricio
    Turner, Matthew C.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (03) : 1268 - 1283
  • [2] Frequency domain identification for active vibration control of flexible structures
    Wang, Y
    Zhu, SZ
    Li, MQ
    Miao, KH
    Xu, W
    2005 International Conference on Control and Automation (ICCA), Vols 1 and 2, 2005, : 1149 - 1153
  • [3] Flexible robust principal component analysis
    He, Zinan
    Wu, Jigang
    Han, Na
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2020, 11 (03) : 603 - 613
  • [4] Flexible robust principal component analysis
    Zinan He
    Jigang Wu
    Na Han
    International Journal of Machine Learning and Cybernetics, 2020, 11 : 603 - 613
  • [5] Image denoising using principal component analysis in the wavelet domain
    Bacchelli, S
    Papi, S
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2006, 189 (1-2) : 606 - 621
  • [6] Principal component analysis in the wavelet domain
    Lim, Yaeji
    Kwon, Junhyeon
    Oh, Hee-Seok
    PATTERN RECOGNITION, 2021, 119
  • [7] Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series
    Knight, Marina I.
    Nunes, Matthew A.
    Hargreaves, Jessica K.
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2024, 33 (03) : 941 - 954
  • [8] Multivariate real-time monitoring using principal component analysis and projection of latent structures
    Garrigues, L
    Kettaneh, N
    Wold, S
    Bascur, OA
    CONTROL 2000: MINERAL AND METALLURGICAL PROCESSING, 2000, : 41 - 47
  • [9] Flexible Minimum Variance Weights Estimation Using Principal Component Analysis
    Kim, Kyuhong
    Park, Suhyun
    Kim, Yun-Tae
    Park, Sung-Chan
    Kang, Jooyoung
    Kim, Jung-Ho
    Bae, Mooho
    2012 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2012, : 1275 - 1278
  • [10] ACTIVE CONTROL OF FLEXIBLE STRUCTURES
    ABDELROHMAN, M
    LEIPHOLZ, HH
    JOURNAL OF THE STRUCTURAL DIVISION-ASCE, 1978, 104 (08): : 1251 - 1266