Acceleration‐based sliding mode hierarchical control algorithm for shake table tests

Yao, Hongcan; Tan, Ping; Yang, Tianliang; Zhou, Fulin

doi:10.1002/eqe.3527

Cited by 9 publications

(6 citation statements)

References 34 publications

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“…Global RMSEs , computed for all spectral components to be compared with other reported results, have lower values than those reported in recent papers [ 39 , 40 , 41 , 42 ]. Even if simple control algorithms have been used, the minimization of the hardware arrangement, and the low weight of the moving parts (only 390 g for the cart and accelerometer), yields very good seismic-waveform-tracking characteristics.…”

Section: Discussioncontrasting

confidence: 65%

Frequency Seismic Response for EEWS Testing on Uniaxial Shaking Table

Donciu

Serea

Temneanu

2023

Entropy

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Earthquake early warning systems are used as important tools in earthquake risk management, providing timely information to residents and both public and private emergency managers. By doing this, the potential impact of large magnitude seismic events is significantly reduced. These systems use seismic sensors in order to acquire real-time data for the weaker but fast moving P wave (usually the first 3–5 s of the earthquake) and specific algorithms to predict the magnitude and the arrival time of the slower but more destructive surface waves. Most of these projection algorithms make use only of the vertical component of the acceleration and need extensive training in earthquake simulators in order to enhance their performance. Therefore, a low-inertial-mass uniaxial shaking table is proposed and analyzed in terms of frequency response in this paper, providing an effective cost/control ratio and high daily duty cycle. Furthermore, with the large variety of prediction algorithms, which use different frequency ranges, a new concept of selective frequency band error is also introduced and discussed in this paper as being a necessary tool for the final assessment of magnitude estimation algorithm error.

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Section: Discussioncontrasting

confidence: 65%

Frequency Seismic Response for EEWS Testing on Uniaxial Shaking Table

Donciu

Serea

Temneanu

2023

Entropy

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“…Then, the conventional actuator controller such as three‐variable control (TVC) can be used to generate the control signal for the AMD, to achieve ideal force/acceleration control. Since direct force/acceleration control is typically unstable and causes large drift, 43 displacement and/or velocity feedback control may be required to stabilize the control system.…”

Section: Control Frameworkmentioning

confidence: 99%

A simple strategy for active structural control against control–structure–excitation effects: Concept, framework, and experiments

Yao

Tan

Liu

et al. 2022

Earthq Engng Struct Dyn

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Active control is among the most effective control techniques for mitigating structural vibrations. Control–structure interaction (CSI) plays a significant role in modeling a control system. Popular methods incorporate the actuator dynamics and structure into the control system to account for CSI. The transfer function of the actuator can be identified through frequency response tests without physical modeling. However, this method ignores the effects of the excitation. Another approach is to create a physics‐based model of the actuator and include it in the control design, but its implementation may be challenging and requires a thorough understanding of the complex control system. In this study, the concept of control–structure–excitation effects (CSEE) is presented to account for the effects of the control, structure, and excitation on the transfer function of the actuator. In contrast to the existing control methods that consider CSI in system modeling, an improved control framework is proposed to eliminate the influence of CSI/CSEE on the control performance and thus decouple the tracking control of the actuator from the control design of the structure. This is achieved by introducing the control floor acceleration into the actuator controller and transforming the tracking of the absolute control force into that of the relative acceleration. The control strategy is simple and easy to implement based on conventional actuator control algorithms, such as three‐variable control. Frequency response tests and shake table tests were performed on a two‐story small‐scale structure to evaluate the effectiveness of the control strategy. It was confirmed that the improved control framework shows good tracking performance with respect to the control force and thus allows for ideal structural response control.

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“…Over the last five decades, different tools and techniques of progressively increasing complexity have been developed for shake‐table control to address the above challenges. The state‐of‐the‐art has evolved from simple displacement‐tracking control 4 to inverse model‐based feedforward control , 5–18 to direct acceleration control , 19,20 to adaptive‐based control , 21–24 and more recently to methods based on loop shaping , 25 neural schemes , 26 acceleration‐decoupling , 27 and multi‐step hierarchical control 28–30 …”

Section: Introductionmentioning

confidence: 99%

Nuances in modeling and impedance‐inspired control of shake tables for tracking ground‐motion trajectories

Parsi

Sivaselvan

Whittaker

2023

Earthq Engng Struct Dyn

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Servo‐hydraulic shake tables are widely used for simulating earthquake shaking in a laboratory environment. Control procedures for shake‐table testing and the associated mathematical models are well documented. An evaluation of such models revealed nuances regarding actuator control, which led to the development of the simple, easy to implement, robust shake‐table controller described in this paper. This controller design recognizes that (i) differential pressure feedback in actuator control is highly beneficial in reducing the consequences of hydraulic‐related nonlinearities and other modeling uncertainties, (ii) the bandwidth over which differential pressure feedback is useful is limited by the sampling frequency of the chosen digital controller, (iii) a linear model predicts shake‐table response with high fidelity across a broad frequency range for a carefully chosen differential pressure gain and a sufficiently large controller sampling frequency, and (iv) shake‐table transfer functions derived from such a linear model are highly effective in designing a feedforward controller. Further, and perhaps most importantly, the controller utilizes real‐time feedback of the reaction force from the test article to account for table‐test article interaction. The three clear advantages of the proposed shake‐table controller are (i) the test‐article dynamics are decoupled from the control design, (ii) the need for offline/online iterative tuning, which is often ground motion‐ and test article‐specific, is minimized, and (iii) control procedures for shake tables can be standardized, all of which are validated in this paper through a series of experiments performed on a uniaxial hydraulic shake table.

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Acceleration‐based sliding mode hierarchical control algorithm for shake table tests

Cited by 9 publications

References 34 publications

Frequency Seismic Response for EEWS Testing on Uniaxial Shaking Table

Frequency Seismic Response for EEWS Testing on Uniaxial Shaking Table

A simple strategy for active structural control against control–structure–excitation effects: Concept, framework, and experiments

Nuances in modeling and impedance‐inspired control of shake tables for tracking ground‐motion trajectories

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