High-fidelity control of a seismic shake table

Kuehn, J.; Epp, David S.; Patten, William

doi:10.1002/(sici)1096-9845(199911)28:11<1235::aid-eqe864>3.0.co;2-h

Cited by 41 publications

(25 citation statements)

References 4 publications

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“…A variety of methods, including modern, hybrid and classical control techniques, have been developed in the field of structural control [18][19][20].For the presented seismic table, the design decisions have been taken under the scope of selecting the Three Variable Method (THV) as the dominant one. Manyshake table designs have already adapted TVC, due to its simplicity, reliability and its low implementation cost [21,22].However, for eliminating the need of more complete, yet more expensive control technique, system identification and components characteristics mapping during the design stagewas required.Thus, reassuring platforms' high resonant frequencies and proper servo valve performance was of crucial importance.…”

Section: Dynamic Modelmentioning

confidence: 99%

Design of a low-cost servo-actuated shaking table for simulating ground motions with strong vertical component

Tsolakis

2014

AIP Conference Proceedings

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Section: Dynamic Modelmentioning

confidence: 99%

Design of a low-cost servo-actuated shaking table for simulating ground motions with strong vertical component

Tsolakis

2014

AIP Conference Proceedings

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“…The earliest methods use conventional linear controller, such as closed-loop PID, deltaP and feed-forward control algorithm [4,5], and three variable control (TVC) [6,7]. However, due to the complexity of the problem the need for more sophisticated control systems become necessary.…”

Section: Introductionmentioning

confidence: 99%

Performance of the CGS six DOF Shaking Table on the Harmonic Signal Reproduction

Halim

Airouche

Hassan

et al. 2017

Period. Polytech. Civil Eng.

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IntroductionShaking tables are being increasingly used in earthquake engineering research field and remain one of the preferred tools for seismic testing [1]. Their main objective is to replicate a wide range of a desired motion with a high degree of accuracy, in order to generate meaningful and reliable results. However, despite the significant progress achieved in shake table design and control technology during the last decades, number of challenges still exist [2]. These challenges fall into two categories: (i) economical and practical challenges and (ii) technical challenges. In the first category we can cite the problem of the full-scale realistic tests of large structural systems which are constrained by the limited financial resources and capacities of the existing laboratories. The second category includes control issues, consideration of different loading conditions other than dynamic base motion and soil-structure interaction effects in shaking-table testing.Undoubtedly, the control of shaking table is the key element of the whole system and one of the most difficult technical challenges. In fact, the modern multiple degree-of-freedom shaking table with a resonating and eccentric specimen has the characteristics of a strongly coupled multiple input, multiple output dynamic system [3]. In such a system, servovalves characteristics, oil column resonance, frictions in the system, cross coupling between degrees of freedom, specimen compliance and noise in feedback transducers, are some of the predominant sources of nonlinearities that can adversely affect the accurate control, stability and high fidelity signal reproduction, of the shaking table.Various control techniques have been developed in order to provide a shaking table with optimum performance and high level of motion control. The earliest methods use conventional linear controller, such as closed-loop PID, deltaP and feed-forward control algorithm [4,5], and three variable control (TVC) [6,7]. However, due to the complexity of the problem the need for more sophisticated control systems become necessary. With advances in computing technologies, followed by the breakthrough development of the digital signal processing and realtime operations, methods based on hybrid control strategies

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“…The MCS algorithm improves the control of shake tables when using the first order strategy of displacement control in the low-medium frequency range. Kuehn et al [1999] developed a feedback/feed-forward control strategy based on receding horizon control (RHC). Experimental results showed that the RHC based controller had better phase characteristics in the acceleration transfer function than a feedback control using the linear quadratic regulator control.…”

Section: Introductionmentioning

confidence: 99%

Direct Acceleration Feedback Control of Shake Tables with Force Stabilization

Stehman

Nakata

2013

Journal of Earthquake Engineering

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This study presents a new strategy for shake table control that uses direct acceleration feedback without need for displacement feedback. To ensure stability against table drift, force feedback is incorporated. The proposed control strategy was experimentally validated using the shake table at the Johns Hopkins University. Experimental results showed that the proposed control strategy produced more accurate acceleration tracking than conventional displacement-controlled strategies. This article provides the control architecture, details of the controller design, and experimental results. Furthermore, the impact of input errors in shake table testing on the structural response is also discussed.

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High-fidelity control of a seismic shake table

Cited by 41 publications

References 4 publications

Design of a low-cost servo-actuated shaking table for simulating ground motions with strong vertical component

Design of a low-cost servo-actuated shaking table for simulating ground motions with strong vertical component

Performance of the CGS six DOF Shaking Table on the Harmonic Signal Reproduction

Direct Acceleration Feedback Control of Shake Tables with Force Stabilization

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