Neural network control for earthquake structural vibration reduction using MRD

Zizouni, Khaled; Fali, Leyla; Sadek, Younes; Bousserhane, Ismaïl Khalil

doi:10.1007/s11709-019-0544-4

Cited by 28 publications

(19 citation statements)

References 29 publications

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“…For the proposed control algorithm evaluation numerical examples were adopted (Zizouni et al, 2019;Zizouni et al, 2017). The tested building is a three-story scaled structure equipped with a magneto-rheological damper installed on the ground floor ( Figure 2).…”

Section: Numerical Examplementioning

confidence: 99%

“…The first class called the classical class is a mathematical model based on Lyapunov stability theory of the controlled system (Jedda&Douik, 2018). The other class called the intelligent class is operating algorithm without requiringthe mathematical model presentation of the system (Zizouni et al, 2019). In many cases a combination of the pervious classes is necessary, this is called hybrid algorithm (Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control

Saidi¹,

Zizouni²,

Kadri³

et al. 2019

SIC

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Semi-active control methods were developed as an attempt to reduce vibration in structures exposed to earthquake motion and overcome the difficulties encountered due to the ignorance of the real seismic responses as well as its real proper time history. Furthermore, the availability of excellent devices such as the Magneto Rheological damper for developing an adequate control force based on control law estimation in real time has been urging researchers in the last few years to design a robust controller. In this case the big challenge is to find an appropriate controller design correlated with a performant algorithm for current or tension fitting. In this paper, an adaptive sliding mode controller is proposed for controlling the vibrations of a scaled three-story structure equipped with a MR damper installed on its ground floor. The scaled structure is exposed to the Boumerdès and theEl Centro's earthquake excitations. The numerical simulation results for the proposed adaptive controlled structure compared with the results obtained for the uncontrolled structure have shown the effectiveness, stability and robustness of the semi-active feedback adaptive control design.

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control

Saidi¹,

Zizouni²,

Kadri³

et al. 2019

SIC

Self Cite

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“…Thus, effective control methods are needed to protect against structural vibration in buildings [1,2]. During the past few decades, a variety of control techniques, including linear quadratic regulator (LQR) [3], sliding-mode [4], neural network [5], fuzzy [6], neural terminal sliding-mode [7], disturbance rejection [8], and proportional-derivative (PD) [9,10] algorithms were analyzed. For example, a new scheme comprising a two-loop sliding system in conjunction with a dynamic state predictor was proposed for controlling an active tuned mass damper in a high-rise building [4].…”

Section: Introductionmentioning

confidence: 99%

“…For example, a new scheme comprising a two-loop sliding system in conjunction with a dynamic state predictor was proposed for controlling an active tuned mass damper in a high-rise building [4]. A neural network for reducing the vibrations of a 3-story scaled structure exposed to the Tōhoku 2011 and Boumerdès 2003 earthquakes was tested [5]. A neural terminal sliding-mode controller, combining a terminal sliding-mode and a hyperbolic tangent function, so that the controlled system could stabilize in finite-time without chattering, was proposed [7].…”

Section: Introductionmentioning

confidence: 99%

Improved Decentralized Fractional PD Control of Structure Vibrations

Chen

Wang

et al. 2020

Mathematics

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This paper presents a new strategy for the control of large displacements in structures under earthquake excitation. Firstly, an improved fractional order proportional-derivative (FOPD) controller is proposed. Secondly, a decentralized strategy is designed by adding a regulator and fault self-regulation to a standard decentralized controller. A new control architecture is obtained by combining the improved FOPD and the decentralized strategy. The parameters of the control system are tuned using an intelligent optimization algorithm. Simulation results demonstrate the performance and reliability of the proposed method.

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“…al. (2019)[192] Neural network control Efficacy of neural network control on a three-story small-scale structure using the T ōhoku 2011 and Boumerdès 2003 earthquake data.…”

mentioning

confidence: 99%

Review of Magnetorheological Damping Systems on a Seismic Building

et al. 2021

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Building structures are vulnerable to the shocks caused by earthquakes. Buildings that have been destroyed by an earthquake are very detrimental in terms of material loss and mental trauma. However, technological developments now enable us to anticipate shocks from earthquakes and minimize losses. One of the technologies that has been used, and is currently being further developed, is a damping device that is fitted to the building structure. There are various types of damping devices, each with different characteristics and systems. Multiple studies on damping devices have resulted in the development of various types, such as friction dampers (FDs), tuned mass dampers (TMDs), and viscous dampers (VDs). However, studies on attenuation devices are mostly based on the type of system and can be divided into three categories, namely passive, active, and semi-active. As such, each type and system have their own advantages and disadvantages. This study investigated the efficacy of a magnetorheological (MR) damper, a viscous-type damping device with a semi-active system, in a simulation that applied the damper to the side of a building structure. Although MR dampers have been extensively used and developed as inter-story damping devices, very few studies have analyzed their models and controls even though both are equally important in controlled dampers for semi-active systems. Of the various types of models, the Bingham model is the most popular as indicated by the large number of publications available on the subject. Most models adapt the Bingham model because it is the most straightforward of all the models. Fuzzy controls are often used for MR dampers in both simulations and experiments. This review provides benefits for further investigation of building damping devices, especially semi-active damping devices that use magnetorheological fluids as working fluids. In particular, this paper provides fundamental material on modeling and control systems used in magnetorheological dampers for buildings. In fact, magnetorheological dampers are no less attractive than other damping devices, such as tuned mass dampers and other viscous dampers. Their reliability is related to the damping control, which could be turned into an interesting discussion for further investigation.

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Neural network control for earthquake structural vibration reduction using MRD

Cited by 28 publications

References 29 publications

Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control

Adaptive Sliding Mode Control for Semi-Active Structural Vibration Control

Improved Decentralized Fractional PD Control of Structure Vibrations

Review of Magnetorheological Damping Systems on a Seismic Building

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