Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control

Gu, Xiaoyu; Yu, Yang; Li, Yancheng; Li, Jianchun; Askari, Mohsen; Samali, Bijan

doi:10.1016/j.ymssp.2018.10.001

Cited by 58 publications

(28 citation statements)

References 32 publications

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“…Generally, however, in the proposed LQR control with inverse model, the MRE isolator can produce qualified control force to avoid unacceptable compromise in control performance. Moreover, as known, one of the major challenges in control of a MRE‐based device is the overlong response time caused by the inductance of coils inbuilt to energise the MRE material . At the same time, time delay in control system may result in degradation of control performance and instability of the system .…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, as known, one of the major challenges in control of a MRE-based device is the overlong response time caused by the inductance of coils inbuilt to energise the MRE material. 33,34 At the same time, time delay in control system may result in degradation of control performance and instability of the system. 35 A comprehensive investigation about the response time of the MRE base isolator was presented by the authors, and approaches proposed in Abdel-Rohma 35 to minimise the response time were employed in this experiment in order to enable real-time control of the system.…”

Section: Evaluation Related To Practical Control Issuesmentioning

confidence: 99%

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Experimental realisation of the real‐time controlled smart magnetorheological elastomer seismic isolation system with shake table

2019

Struct Control Health Monit

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Summary Traditional base isolation protects structures against severe seismic events by providing a designated lateral flexibility at the base level of the structures. Due to its inherent passive nature, in the design process, compromises have to be made among performance of different design targets (displacements, interstorey drifts, accelerations, etc.). In addition, as the working principle, the effectiveness of a base isolation relies on the degree of “decoupling” between ground excitation and superstructure. However, a higher degree of decoupling compromises the stability of the structures. In other words, for a base solation system, it possesses inherent conflicts between the effectiveness of the isolation and the lateral stability of the structure. A concept of new smart base isolation system is proposed, in which real‐time controllable decoupling for a base isolation structure is achieved by employing magnetorheological elastomer (MRE) base isolators. With controllable lateral stiffness, the smart base isolation system can achieve an optimal decoupling by instantly shifting the structure's natural frequencies to a nonresonant region. This paper aims at experimentally proving and validating this innovative concept, including designing a three‐storey shear building model equipped with MRE base isolators, demonstrating the feasibility and evaluating the performance of the proposed system by a series of shake table testing. The comprehensive experimental design and results of shake table testing have concept‐proved the proposed smart MRE base isolation system for future development in practical applications.

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Section: Resultsmentioning

confidence: 99%

Section: Evaluation Related To Practical Control Issuesmentioning

confidence: 99%

Experimental realisation of the real‐time controlled smart magnetorheological elastomer seismic isolation system with shake table

2019

Struct Control Health Monit

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“…Many researchers have tackled this problem using different (model‐free) approaches (e.g. fuzzy sliding mode controller, fuzzy logic control, and fuzzy logic and neural networks). In Khalatbarisoltani et al, the authors propose a method based on an online control of active structural systems taking into account both seismic uncertainties and time delay combining reinforcement learning algorithms (which include a fuzzy gain‐scheduling controller) with a state predictor in order to face the input time delay.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven optimal predictive control of seismic induced vibrations in frame structures

Girolamo

Smarra

Gattulli

et al. 2020

Struct Control Health Monit

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Summary Complex civil engineering structural systems are prone to seismic induced vibrations during which their inherent dynamical features are displayed often causing discrepancies with the prediction of classical idealized models. In the paper, effective control of such systems is pursued by a novel data‐driven modeling and a control methodology based on a technique from machine learning: Regression Trees. A training process to create a state–space model based on partitioning the dataset is illustrated. State‐ and output‐feedback are derived using the recursively identified model in order to reach a suitable performance event for an unknown structure. A benchmark frame structure has been used to demonstrate the effectiveness of the entire procedure.

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“…Meanwhile, due to the excellent performance of isolation technology, many different isolation devices (e.g., rubber isolation bearings, lead rubber isolation bearings, friction pendulum bearings, etc.) are used in buildings and bridges [5][6][7][8][9][10][11][12][13][14][15]. However, passive isolation also has many disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on Semi-Active Control of Base Isolation System Using Magnetorheological Dampers for Concrete Frame Structure

Wei-qing

Zhang

et al. 2019

Applied Sciences

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The traditional passive base isolation is the most widely used method in the engineering practice for structural control, however, it has the shortcoming that the optimal control frequency band is significantly limited and narrow. For the seismic isolation system designed specifically for large earthquakes, the structural acceleration response may be enlarged under small earthquakes. If the design requirements under small earthquakes are satisfied, the deformation in the isolation layer may become too large to be accepted. Occasionally, it may be destroyed under large earthquakes. In the isolation control system combined with rubber bearing and magnetorheological (MR) damper, the MR damper can provide instantaneous variable damping force to effectively control the structural response at different input magnitudes. In this paper, the control effect of semi-active control and quasi-passive control for the isolation control system is verified by the shaking table test. In regard to semi-active control, the linear quadratic regulator (LQR) classical linear optimal control algorithm by continuous control and switch control strategies are used to control the structural vibration response. Numerical simulation analysis and shaking table test results indicate that isolation control system can effectively overcome the shortcoming due to narrow optimum control band of the passive isolation system, and thus to provide optimal control for different seismic excitations in a wider frequency range. It shows that, even under super large earthquakes, the structure still exhibits the ability to maintain overall stability performance.

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Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control

Cited by 58 publications

References 32 publications

Experimental realisation of the real‐time controlled smart magnetorheological elastomer seismic isolation system with shake table

Experimental realisation of the real‐time controlled smart magnetorheological elastomer seismic isolation system with shake table

Data‐driven optimal predictive control of seismic induced vibrations in frame structures

Experimental Investigation on Semi-Active Control of Base Isolation System Using Magnetorheological Dampers for Concrete Frame Structure

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