Simple adaptive control of seismically excited structures with MR dampers

Amini, Fereidoun; Javanbakht, Majd

doi:10.12989/sem.2014.52.2.275

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…In the proposed semi‐active control system, the cable acceleration at the damper location is used as the control feedback. However, it has been reported that the acceleration feedback could undermine the performance and robustness of the SAC controller 22,25 . To improve the tracking behavior and the stability of the controller when the acceleration feedback is used in the control loop, Alavi and Javanbakht 26 proposed to pass the control output through a compensator of the following form:

G_{c} ((), s) goodbreak= \frac{U_{c} ((), s)}{U_{p} ((), s)} goodbreak= \frac{a_{c}}{b_{c} s + c_{c}}

where

G_{c} ((), s)

is the transfer function of the compensator;

U_{p} ((), s) = scriptL ({}, u_{p} ((), t))

is the Laplace transform of the control command

u_{p} ((), t)

obtained from Equation (5);

U_{c} ((), s) = scriptL ({}, u_{c} ((), t))

is the Laplace transform of the compensated control force

u_{c} ((), t)

sent to the inverse damper model; and

a_{c}

b_{c}

, and

c_{c}

are the design parameters of the compensator.…”

Section: Design Of a Semi‐active Control Systemmentioning

confidence: 99%

“…As an output‐only model‐reference adaptive control strategy, the simple adaptive control (SAC) algorithm requires no prior information about the system dynamics and has a simple structure with only a few design parameters. In addition to complex aerospace systems, SAC has also been utilized in structural control applications 21–23 . Although using acceleration measurements in the control loop may affect the SAC efficiency and robustness, different measures have been proposed to improve its performance when using acceleration feedback 24–26 .…”

Section: Introductionmentioning

confidence: 99%

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Semi‐active adaptive control of stay cable vibrations using MR dampers

Javanbakht

Cheng

Ghrib

2022

Structural Contr & Hlth

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Among various countermeasures for suppressing bridge stay cable vibrations, installation of external dampers near the lower cable end is the most common practice. Compared to the limitations of passive dampers, especially when attached to superlong cables, semi-active magneto-rheological (MR) dampers operated by smart controllers manifest superior control performance. In this study, an adaptive output-only control scheme is proposed for cable vibration control using semi-active MR dampers. The controller is designed based on the simple adaptive control (SAC) algorithm. Only one collocated acceleration sensor is used in the control feedback loop. The adverse effect of using acceleration feedback on the control performance is eliminated by adding a stability compensator to the SAC structure. A novel iterative process is formulated to optimize the SAC parameters. The required command voltage of MR damper for generating the control force is obtained by developing a real-time force tracking strategy. The performance of the proposed control system is evaluated through a numerical example by inspecting the dynamic response of a full-size stay cable when subjected consecutively to ambient excitation, wind excitation, and free vibration. The robustness of the proposed control scheme against abrupt system changes and contamination in the sensor data are investigated.Results show that the proposed control strategy can effectively mitigate cable vibration under various types of excitation. The controller is proved robust against unexpected changes in the system properties and loads, as well as the presence of sensor noise. Moreover, MR dampers are found to be effective in suppressing multimode cable vibrations.

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G_{c} ((), s) goodbreak= \frac{U_{c} ((), s)}{U_{p} ((), s)} goodbreak= \frac{a_{c}}{b_{c} s + c_{c}}

where

G_{c} ((), s)

is the transfer function of the compensator;

U_{p} ((), s) = scriptL ({}, u_{p} ((), t))

is the Laplace transform of the control command

u_{p} ((), t)

obtained from Equation (5);

U_{c} ((), s) = scriptL ({}, u_{c} ((), t))

is the Laplace transform of the compensated control force

u_{c} ((), t)

sent to the inverse damper model; and

a_{c}

b_{c}

, and

c_{c}

are the design parameters of the compensator.…”

Section: Design Of a Semi‐active Control Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semi‐active adaptive control of stay cable vibrations using MR dampers

Javanbakht

Cheng

Ghrib

2022

Structural Contr & Hlth

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“…One of the adaptive controllers, namely SAC method, is introduced and its stability is discussed (Barkana, 2013; Kaufman et al, 1998). This algorithm has been used to control (Javanbakht and Amini, 2016) with the neural network inverse model in the MR damper command voltage (Amini and Javanbakht, 2014), rotational asymmetric structures (Amini et al, 2018), and large space structures (Hu et al, 2018). Therefore, The SAC algorithm is significantly effective in reducing structure vibrations.…”

Section: Introductionmentioning

confidence: 99%

Online parameter estimation and adaptive control with limited information in structures

Amini

Aghabarari

2021

Journal of Vibration and Control

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An online parameter estimation is important along with the adaptive control, that is, a time-dependent plant. This study uses both online identification and the simple adaptive control algorithm with velocity feedback. The recursive least squares method was used to identify the stiffness and damping parameters of the structure’s stories. Identification was carried out online without initial estimation and only by measuring the structural responses. The limited information regarding sensor measurements, parameter convergence, and the effects of the covariance matrix is examined. The integration of the applied online identification, the appropriate reference model selection in simple adaptive control, and adopting the proportional integral filter was used to limit the structural control response error. Some numerical examples are simulated to verify the ability of the proposed approach. Despite the limited information, the results show that the simultaneous use of online identification with the recursive least squares method and simple adaptive control algorithm improved the overall structural performance.

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“…[8,9], Bahar et al [10]). To improve dynamic response of structures, many models and control algorithms that adopt to MR damper were developed in recent studies (Casciati,et al [11], Mohajer et al [12], Amini and Javanbakht [13]). A phenomenological model of a shear-mode MR damper based on Bouc-Wen element was employed in the analysis of a five-storey building (Kori and Jangid [14]).…”

Section: Introductionmentioning

confidence: 99%

Passive Base Isolation System for an Asymmetric Building

Numayr¹,

Haddad²,

Ailabouni³

et al. 2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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In this paper, the efficiency of base isolation of an asymmetric single-storey building subjected to the EL-CENTRO earthquake is investigated. Three different isolators (lead rubber bearing, high damping rubber bearing, and coil spring) have been employed and their efficiency in reducing the response to the earthquake tested. A magneto-rheological damper is introduced to improve the efficiency of different isolators. The effect of including the soft soil interaction on the performance of the different isolators was also investigated. The building, on grade slab and backfill are treated as lumped mass parameters in the dynamic modelling. The results indicate that passive base isolation enables the reduction of the response of an asymmetric building under dynamic loads and allows the superstructure to act as rigid body. The high damping rubber bearing performed best among the isolators examined, while semi active control allowed a reduction of ninety percent in the dynamic response. Including soilstructure interaction in the dynamic analysis increased the displacement of the suggested one storey building.

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Simple adaptive control of seismically excited structures with MR dampers

Cited by 14 publications

References 35 publications

Semi‐active adaptive control of stay cable vibrations using MR dampers

Semi‐active adaptive control of stay cable vibrations using MR dampers

Online parameter estimation and adaptive control with limited information in structures

Passive Base Isolation System for an Asymmetric Building

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