Resonance Suppression for Hydraulic Servo Shaking Table Based on Adaptive Notch Filter

被引：5
作者：
Yao, Jianjun [1 ]
Wan, Zhenshuai [1 ]
Zhao, Yue [1 ]
Yu, Jie [1 ]
Qian, Chen [1 ]
Fu, Yu [1 ]
机构：
[1] Harbin Engn Univ, Coll Mech & Elect Engn, Harbin 150001, Heilongjiang, Peoples R China
来源：
SHOCK AND VIBRATION | 2019年 / 2019卷
基金：
黑龙江省自然科学基金;
关键词：
D O I：
10.1155/2019/9407520
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In dynamic structure test, the specimen of hydraulic servo shaking table contains not only inertia load but also elastic load. The specimen herein is simplified as a spring-mass-damping system, and the mathematical model of the hydraulic servo shaking table is established by theoretical analysis. The coupling between specimen's elastic load and shaking table itself produces resonance phenomenon in the required bandwidth when the elastic load is not negligible, which deteriorates the system's dynamic performance and even leads to the instability of the control system. Also, the time-varying resonance frequency further aggravates the control performance of the system in the shaking test. In this paper, an adaptive notch filter based on least mean square (LMS) error principle is employed to identify the resonance frequencies online and real-time adjust the parameters of the notch filter. Simulation and experiment results show the effectiveness of frequency identification and resonance mode suppression. Compared with the existing resonance suppression scheme, the proposed method can suppress the appeared resonance mode adaptively.
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页数：12
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共 29 条
  • [1] Cadzow J., 2003, IEEE T ACOUSTICS SPE, V22, P10
  • [2] Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System
    Ghazali, R.
    Sam, Y. M.
    Rahmat, M. F.
    Zulfatman
    Hashim, A. W. I. M.
    [J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2012, 2012
  • [3] An adaptive notch filter for suppressing mechanical resonance in high track density disk drives
    Kang, CI
    Kim, CH
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2005, 11 (8-10): : 638 - 652
  • [4] Output feedback nonlinear control for electro-hydraulic systems
    Kim, Wonhee
    Won, Daehee
    Shin, Donghoon
    Chung, Chung Choo
    [J]. MECHATRONICS, 2012, 22 (06) : 766 - 777
  • [5] Mechanical vibration reduction control of two-mass permanent magnet synchronous motor using adaptive notch filter with fast Fourier transform analysis
    Lee, D. -H.
    Lee, J. H.
    Ahn, J. -W.
    [J]. IET ELECTRIC POWER APPLICATIONS, 2012, 6 (07) : 455 - 461
  • [6] Sine phase compensation combining an amplitude phase controller and a discrete feed-forward compensator for electro-hydraulic shaking tables
    Li, Ge
    Shen, Gang
    Zhu, Zhen-Cai
    Li, Xiang
    Zang, Wan-Shun
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (11) : 3377 - 3389
  • [7] Force Loading Tracking Control of an Electro-Hydraulic Actuator Based on a Nonlinear Adaptive Fuzzy Backstepping Control Scheme
    Li, Xiang
    Zhu, Zhen-Cai
    Rui, Guang-Chao
    Cheng, Dong
    Shen, Gang
    Tang, Yu
    [J]. SYMMETRY-BASEL, 2018, 10 (05):
  • [8] An Adaptive Resonance Regulator Design for Motion Control of Intake Valves in Camless Engine Systems
    Mercorelli, Paolo
    Werner, Nils
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (04) : 3413 - 3422
  • [9] Control of the drive system with stiff and elastic couplings using adaptive neuro-fuzzy approach
    Orlowska-Kowalska, Teresa
    Szabat, Krzysztof
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) : 228 - 240
  • [10] Control techniques for structural testing: a review
    Plummer, A. R.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2007, 221 (I2) : 139 - 169
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