American Journal of Civil Engineering and Architecture
ISSN (Print): 2328-398X ISSN (Online): 2328-3998 Website: http://www.sciepub.com/journal/ajcea Editor-in-chief: Mohammad Arif Kamal
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American Journal of Civil Engineering and Architecture. 2020, 8(3), 119-130
DOI: 10.12691/ajcea-8-3-5
Open AccessReview Article

Recent Progress on Control Techniques of Shaking Table and Array Systems in China: An Overview

Gao Chunhua1, , Yuan Xiaobo1, Wang Jieqiong1 and Zhang Yonghe1

1College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, China

Pub. Date: September 28, 2020

Cite this paper:
Gao Chunhua, Yuan Xiaobo, Wang Jieqiong and Zhang Yonghe. Recent Progress on Control Techniques of Shaking Table and Array Systems in China: An Overview. American Journal of Civil Engineering and Architecture. 2020; 8(3):119-130. doi: 10.12691/ajcea-8-3-5

Abstract

Shaking table is one of the important equipments for seismic research. It can accurately reproduce the seismic wave in the laboratory to accurately study the structural response. Based on the summary of domestic shaking table and array system control algorithms, the applications of various control algorithms and their advantages and disadvantages are summarized. The development trend of the shaking table control algorithm is analyzed and explained. It can be used as a reference for research on control technology of shaking tables at home and abroad.

Keywords:
seismic research shaking table control algorithm development trend

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]  Gao C H, Ji J B, Yan W M, et al, "Developments of shaking table technology in China, " China Civil Engineering Journal, 47(08): 9-19, 2014.
 
[2]  Wang Y H, Cheng W R, Chen Z F, et al, "Construction of one - way earthquake simulation shaking table," Special Structures, (02): 104-106, 2008.
 
[3]  Nakashima, M, Nagae, T, Enokida, R, et al, "Experiences, accomplishments, lessons, and challenges of E-defense-Tests using world's largest shaking table," Japan Architectural Review, 1(1): 4-17, 2018.
 
[4]  Wang Y H, Cheng W R, Lu F, et al, "Development of the Shaking Table, "Earthquake Resistant Engineering and Retrofitting, (05): 53-56+67, 2007.
 
[5]  Han J W, Hu B S, Zhou M D, et al, "Matching of initial state regulation and control parameters of earthquake simulation vibration table," Earthquake Engineering And Engineering Vibration, (01): 116-121,1997.
 
[6]  Wang X S, "Parameter setting and correct application of PJD regulator," Automation Of Refining And Chemical Industry, (06): 30-33, 1992,.
 
[7]  Yan G F, "The PID Analysis of controller parameter setting complexity," Journal of Chengdu University (Natural Science Edition), 38(01): 64-68, 2019.
 
[8]  Lang W H, Zhu S M, Luo D H, "Simulation of PID parameter adjuster based on virtual fuzzy set," Computer Simulation, (01): 28-29, 2000.
 
[9]  Zhan Y L, "The study on neural network control of self- adjusted PID parameters for ship maneuvering," Ship Science and Technolog, (05): 20-23, 2003.
 
[10]  Li H, "Research on Improvement of BP Algorithm and Its Application in PID Optimal Control," Xi'an University of Science and Technology, 2012.
 
[11]  Pan Y C, Lin H Z,Chen X L, et al, "PID Control Method Based on Fuzzy-RBF Neural Network and Its Application," Electrical Automation, 48(03): 215-219, 2019.
 
[12]  Zhang Z G, Du Y G, "PID parameter setting based on improved genetic algorithm," Journal of Taiyuan University of Technology, (04): 416-418+422, 2005.
 
[13]  Meng X Y, Yao Y G, "Pid parameter tuning by using wavelet transform and its simulation in process control systems," Computer Applications and Software, (08): 77-78+102, 2006.
 
[14]  Zhang S F, Li P, “Tuning of PID parameters based on improved particle swarm optimization algorithm,” Industrial Instrumentation & Automation, (02): 53-55, 2010.
 
[15]  Shao H F, “Application of an improved PSO algorithm in PID parameters optimization,” Electric Drive Automation, 32(02): 22-24+35, 2010.
 
[16]  Li X L, Feng S H, Qian J X, et al, "Parameter Tuning Method of Robust PID Controller Based on Artificial Fish School Algorithm," Information and Control, (01): 112-115, 2004.
 
[17]  Sun X H, Xu B," Multi-Universe parallel genetic algorithm for pid parameters tuning," Journal of Liaoning Technical University (Natural Science), 29(05): 891-894,2010.
 
[18]  He C, Xing J C, Yang Q, et al, "Parameters tuning of PID controller based on Max-Min Ant System," Microcompute r Information, 27(09): 48-50+47, 2011.
 
[19]  Ma A F, Wang J J, "PID parameter tuning based on big bang big convergence algorithm," Journal of Hangzhou dianzi university (Natural science), 2018 38(06): 56-61,.
 
[20]  Li X H, "PID parameter setting based on bacterial foraging algorithm," Gansu Agricultural University, 2018.
 
[21]  Luan Q L, Chen Z W, Xu J R, et al, "Research on three parameter control parameter setting technology of seismic simulation shaking table," Journal of Vibration Engineering, 27(03): 416-425, 2014.
 
[22]  Han J W, Yu L M, Zhao H, et al, "Study on three-state control of seismic simulation shaking table [J]," Journal of Harbin Institute of Technology, (03): 21-23+28, 1999.
 
[23]  Cui W Q, "Research on dunamic characteristic and controlling means of simulated earthquake vibration table," Hebei University of Technology. 2017.
 
[24]  Rui G C, Hou D D, Shen G, "A Combined Controller Based on Feedback and Feedforword Compensation for 2-DOF Electro-hydraulic Shaking Table," Chinese Hydraulics & Pneumatics, (05): 21-27, 2017.
 
[25]  Ji J B, Sun L J, Zhan P Y, "Shaking table control parameter tuning technology based on frequency domain identification,"Industrial Architecture, 44(S1): 424-427, 2014.
 
[26]  Ji J B, Sun L J, Zhan P Y, et al, "Study on the self-tuning method of vibration table control parameters based on expert experience," Technology for Earthquake Disaster Prevention, 9(04): 882-890, 2014.
 
[27]  Han J W, Nie B X, Yu L M, et al, "Design of three-parameter adaptive controller for electro-hydraulic servo system with differential pressure feedback," Journal of Harbin Institute of Technology, (06): 66-68, 1997.
 
[28]  Liu T, Liu Y J, Yi W J, "Three Variable Control Algorithm Based on Neural Network for Shaking Table," Noise and vibration control, 30(05): 43-46, 2010.
 
[29]  Li X J, Li F F, Ji J B, et al, "A New Control Technology of Shaking Table Based On the Jerk," Advanced Engineering Sciences, 50(03): 64-72, 2018.
 
[30]  Li F F, Ji J B, Li X J, et al, "Force feedback compensation control of shaking table system with interaction between shaking table and specimen," Journal of Vibration Engineering, 32(04): 685-694, 2019.
 
[31]  Wang Y M, "Research on Control Method of Resonant Electro-Hydraulic Shaking table," Jilin University, 2018.
 
[32]  Zhang, B, Wei, W, Qian, P, et al, "Research on the Control Strategy of Hydraulic Shaking Table Based on the Structural Flexibility," IEEE Access, 7: 43063-43075, 2019.
 
[33]  Tang, Y, Zhu, Z, Shen, G, et al, "Investigation on acceleration performance improvement of electro-hydraulic shake tables using parametric feedforward compensator and functional link adaptive controller," ISA Trans, 83: 290-303, 2018.
 
[34]  Zhou H M, "Research on Control System of Electro-Hydraulic Servo Shaking table Based on Iterative Learning Control," Hunan University, 2008.
 
[35]  Zhang X G, Lin H, "Recent Developments and Prospects of Iterative Learning Control Theory," Measurement & Control Technology, (11): 1-5, 2006.
 
[36]  Li L N, "Research on Iterative Learning Control Algorithm of Electro-Hydraulic Servo System," Wuhan University of Technology, 2007.
 
[37]  Tang, Y, Shen, G, Zhu, Z-C, et al, "Time waveform replication for electro-hydraulic shaking table incorporating off-line iterative learning control and modified internal model control," Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering,228(9): 722-733, 2014.
 
[38]  Yan Q Z,Sun M X, Cai J P, "Filtering-error rectified iterative learning control for systems with input dead-zone," Control Theory & Applications, 34(01): 77-84,2017.
 
[39]  Xu G S, Xu J F, Wu B, "Experimental study on displacement-acceleration vibration table iterative learning control method," Journal of Vibration Engineering, 30(01): 100-109, 2017.
 
[40]  Lin Shuchao, Tang Zhenyun, Huang Li, et al, "Effect of Shaking Table Errors on Specimen Response and Its Correction Measures," Journal of Beijing University of Technology, 43(01): 118-126, 2017.
 
[41]  Wang Z G, Yin M F, Sun H L, et al, "Simulation of Rock Pressure Control with Three-Axis Loading hydraulic Servo System," Computer Simulation, 35(12): 286-290+358, 2018.
 
[42]  Kong J, "Research on key technologies of shaking table control for earthquake simulation," Zhejiang University, 2019.
 
[43]  Yuan L P, Cui S M, Jin M, "Study on control strategy of hydraulic Angle vibration table based on iterative learning,"Journal of Astronautics, 31(03): 902-906, 2010.
 
[44]  Yuan L P, Cui S M, Lu H Y, et al, "QFT iterationr-learning based control strategy of hydraulic angular vibration table," Journal of Jilin University (Engineering and Technology Edition), 41(03): 676-682, 2011.
 
[45]  Wang Y D, "Research and Application of Flexible Iterative Learning Control Method," Zhejiang University of Technology, 2018.
 
[46]  Yu S P, Liu X X, Wang J C, et al, "Application of BP Neural Networks in Electro-hydraulics Shaking Table Control System," Chinese Hydraulics & Pneumatics, (07): 53-55, 2008.
 
[47]  Liu Y Y, Zheng W, "Application of PID Neural Network in Lowfrequency Shaking Table Control Simulation," Machine Tool & Hydraulics, 38(20): 101-103, 2010.
 
[48]  Xia L Q, "Research on the control of electro-hydraulic servo seismic simulation shake table based on neural network," Hunan University, 2009.
 
[49]  Tang Y, Z Z, Shen G, et al, "Real Time Acceleration Tracking of Electro-Hydraulic Shake Tables Combining Inverse Compensation Technique and Neural-Based Adaptive Controller," Ieee Access, 2017 5: 23681-23694.
 
[50]  Guo Q, S G, Wang D, et al, "Neural Network–Based Adaptive Composite Dynamic Surface Control for Electro-Hydraulic System with Very Low Velocity," Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 231(10): 867-880. 2017.
 
[51]  Zhou D X, Yan W M, Chen Y J, et al, "Application of neural network in real-time substructure testing with shaking table," Journal of Vibration and Shock, 30(12): 14-18, 2011.
 
[52]  Huang R N, Guan Q Q, Gao Y J, et al, "The Fuzzy PD Control of Electro hydraulic Vibration Testbed," Chinese Hydraulics & Pneumatics, (04): 36-38. 2009.
 
[53]  Yang Z P, Cao C X, "Iterative Learning Control of Nonlinear and Uncertain Systems Based on Fuzzy Network," Information and Control, (04): 468-471, 2004.
 
[54]  Guan Q Q, "Fuzzy Control of Electro-hydraulic Servo Shaking table," Yanshan University, 2009.
 
[55]  Hu S Q, "Research on shaking table control simulation and model resonance based on advanced PID algorithm," Harbin Institute of Technology, 2011.
 
[56]  Sun Y Y, Feng G N, Sun L, "Adaptive Sliding Mode Tracing Control of AC. Servo Control System," Electric Drive, (03): 10-14, 1998.
 
[57]  Xu W Q, "Research on adaptive inverse control method in vibration-centrifugal composite environment," Sichuan University, 2005.
 
[58]  Sun J L, "Model Reference Adaptive Control Based on Electro-Hydraulic Shaking table," Yanshan University, 2009.
 
[59]  Li, X, Chen, X, Zhou, C, "Combined Observer-Controller Synthesis for Electro-Hydraulic Servo System with Modeling Uncertainties and Partial State Feedback," Journal of the Franklin Institute, 355(13): 5893-5911, 2018.
 
[60]  Yao, J, Dietz, M, Xiao, R, et al, "An overview of control schemes for hydraulic shaking tables," Journal of Vibration and Control, 22(12): 2807-2823, 2014.
 
[61]  Xiao R, "Research on Electro-Hydraulic Servo Shaking table Control Based on Minimal Control Synthesis Algorithm," Harbin Engineering University, 2016.
 
[62]  Dertimanis V K, Mouzakis H P, Psycharis I N, "On the acceleration-based adaptive inverse control of shaking tables," Earthquake Engineering & Structural Dynamics, 44(9): 1329-1350, 2015.
 
[63]  Tian P, Chen Z W, Jing W, "Improved earthquake simulation test method based on adaptive control," Journal of Vibration and Shock, 31(09): 49-52+89, 2012.
 
[64]  Wang M, "Application of Adaptive Inverse Control in Vibration Test Device," Harbin Institute of Technology, 2017.
 
[65]  Cheng X, Yao J Y, Le G G, "Multiple Model Robust Adaptive Control of Electro-Hydraulic Servo Systems," Journal of Xi'an Jiaotong University, 52(11): 156-162, 2018.
 
[66]  Tang, Y, Zhu, Z, Shen, G, et al, "Real-time nonlinear adaptive force tracking control strategy for electrohydraulic systems with suppression of external vibration disturbance," Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(7), 2019.
 
[67]  Yao, J, Zhao, Y, Wang, J, et al, "Three-parameter Control Scheme based on Adaptive Pole Assignment for an Underwater Shaking Table System," The 31st China Control and Decision Conference.
 
[68]  Yao, J, Xiao, C, Wan, Z, et al, "Acceleration Harmonics Identification for an Electro-Hydraulic Servo Shaking Table Based on a Nonlinear Adaptive Algorithm," Applied Sciences, 8(8): 1332, 2018.
 
[69]  Tang, Y, Zhu, Z-C, Shen, G, et al, "Improved feedforward inverse control with adaptive refinement for acceleration tracking of electro-hydraulic shake table," Journal of Vibration and Control, 22(19): 3945-3964, 2016.
 
[70]  Stoten, D P, Shimizu, N, "The feedforward minimal control synthesis algorithm and its application to the control of shaking-tables," Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 221(3): 423-444, 2016.
 
[71]  Shen, G, Zhu, Z, Tang, Y, et al, "Combined control strategy using internal model control and adaptive inverse control for electro-hydraulic shaking table," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 227(10): 2348-2360, 2012.
 
[72]  Han J W, Yu L M, "Research on force balance compensation control of three-dimensional six-degree-of-freedom earthquake simulation shaking table," The First National Conference on Fluid Power and Control Engineering.
 
[73]  Shen G, Zhu Z C, Li X, et al, "Decoupling control of a three-axis, six-degree-of-freedom electro-hydraulic shaking table," Journal of Vibration and Shock, 34 (19): 1-7, 2015.
 
[74]  Guan G F, Plummer, A R, "Acceleration decoupling control of 6 degrees of freedom electro-hydraulic shaking table," Journal of Vibration and Control, 25(21-22): 2758-2768, 2019.
 
[75]  Fallahi, M, Zareinejad, M, Baghestan, K, et al, "Precise position control of an electro-hydraulic servo system via robust linear approximation," ISA Trans, 80: 503-512., 2018
 
[76]  Guo Q, "Development of Nonlinear Control Technology for Electro-hydraulic Servo System," Chinese Hydraulics & Pneumatics, (03)1-9, 2018(03)1-9.
 
[77]  Wang Y, Zhao Y, Liu C, "Research on intelligent algorithm of electro - hydraulic servo control system," IOP Conference Series: Materials Science and Engineering, 231: 012-026, 2017.
 
[78]  Chen W Y, Song Q, Shu Y, “Modeling of the Electro-hydraulic Shaking table by Considering the Dynamic Nonlinear Characteristic or Servo Valve,” Machine Tool & Hydraulics, 41(03): 130-133, 2013.
 
[79]  Liao J, He L, Xu R W, “Research on compensation control for uncertain nonlinear load of direct drive electro-hydraulic servo system,” Ship Science and Technology, 40(09): 79-84, 2018.
 
[80]  Wei W, Liu X B, Kong J X, “Flow rate nonlinear compensation control of electro-hydraulic servo vibration table,” Journal of South China University of Technology(Natural Science Edition), 46(09): 24-29+72,2018.
 
[81]  Zhao, J, Wang, Z, Zhang, C, et al, "Modal space three-state feedback control for electro-hydraulic servo plane redundant driving mechanism with eccentric load decoupling," ISA Trans, 77: 201-221, 2018.
 
[82]  Wang S J, "Research on the key techniques for the three arraya of seismic simulation shaking table," Hefei University of Technology, 2017.