Active vibration control of a multi-degree-of-freedom structure by the use of direct model reference adaptive control

Agarwala, Ranjeet; Özçelik, Selahattin; Faruqi, Mohammed

doi:10.1109/acc.2000.879236

Cited by 16 publications

(11 citation statements)

References 8 publications

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“…An important element of an active control strategy is the actuators. These are active control devices that attenuate disturbances at the corresponding subsystems or reduce the vibration on crane bridges when they are installed [7]. In this study, two actuators are used to suppress earthquake induced vibrations.…”

Section: Mathematical Model Of the Cranementioning

confidence: 99%

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

et al. 2010

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Self-tuning fuzzy logic controllers (STFLC) for the active control of Marmara Kocaeli Earthquake excited crane structures are studied in this paper. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle, uncertainties and heuristic knowledge and even non-linearities effectively and easily. The improved seismic control performance can be achieved by converting a simply designed static gain into a real time variable dynamic gain through a self-tuning mechanism. A self-tuning fuzzy logic controller is designed to reduce the vibrations of the crane structure. The simulated system has a five degrees-offreedom and modeled system was simulated against the ground motion of the Marmara Kocaeli Earthquake (M w = 7.4) in Turkey on August 17, 1999. At the end of the study, the time history of the crane bridge and portal legs displacements, accelerations, and frequency responses of the both uncontrolled and controlled cases are presented. Additionally, the performance of the designed STFLC is also compared with a PD controller. Simulations of an earthquake excited bridge and portal legs are performed to prove the validity of proposed control strategy.

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Section: Mathematical Model Of the Cranementioning

confidence: 99%

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

et al. 2010

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“…An important element of an active control strategy is the actuators. These are active control devices that expend energy to attenuate disturbances at the corresponding subsystems or reduce the vibration on stories which they are installed [23]. In this study, two actuators are used to suppress earthquake induced vibrations and they are installed on the first and ninth stories.…”

Section: Dynamic Model Of the Structural System With Atmdmentioning

confidence: 99%

Self-tuning fuzzy logic control of a non-linear structural system with ATMD against earthquake

Güçlü

Yazıcı

2008

Nonlinear Dyn

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Self-tuning fuzzy logic controllers (STFLC) for the active control of Marmara Kocaeli earthquake excited building structures are studied in this paper. Vibration control using intelligent controllers, such as fuzzy logic has attracted the attention of structural control engineers during the last few years, because fuzzy logic can handle nonlinearities, uncertainties, and heuristic knowledge effectively and easily. The improved seismic control performance can be achieved by converting a simply designed static gain into a real time variable dynamic gain through a selftuning mechanism. Self-tuning fuzzy logic controller is designed to reduce the story-drift of each floor.The simulated system has a nine-degree-of-freedom, which is modeled using nonlinear behavior of the base-structure interaction. Modeled system was simulated against the ground motion of the Marmara Kocaeli earthquake (M w = 7.4) in Turkey on 17 August, 1999. At the end of the study, the time history of the story displacements, accelerations, ATMD displacements, control voltage, and frequency responses of the both uncontrolled and controlled cases are presented. The robustness of the controller has been checked through the uncertainty in stiffness of the structure. Performance of the designed STFLC has been demonstrated for the different disturbance using ground motion of the Kobe earthquake. Simulations of an earthquake excited nine story structure are performed to prove the validity of proposed control strategy.

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“…The structural control system can be divided into two parts: (1) the active control device, and (2) the control algorithm [17]. An important element of an active control strategy is the actuators that expend energy to attenuate disturbances at the corresponding structural systems or reduce the vibration on storeys in which they are installed [18]. Zadeh [19] introduced fuzzy set theory in 1965, and the first fuzzy-logic control algorithm was implemented by Mamdani on a steam engine in 1974 [20].…”

Section: Design Of a Fuzzy Pid Type Controllermentioning

confidence: 99%

Seismic-vibration mitigation of a nonlinear structural system with an ATMD through a fuzzy PID controller

Güçlü

Yazıcı

2009

Nonlinear Dyn

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This paper discusses the design of fuzzy PID type controllers (FPIDC) to improve seismic control performance of a nonlinear structural system with an active tuned mass damper (ATMD) against earthquakes. Since structural systems have nonlinearities and uncertainties, fuzzy-based controllers are adequate because of their robust character and satisfactory performance in active structural control. The main advantages of this controller are the ability to handle nonlinearities and uncertainties effectively. In the literature, various structures for fuzzy PID (including PI and PD) controllers have been proposed. In order to obtain proportional, integral and derivative control actions altogether, it is intuitive and convenient to combine PI and PD actions to form a fuzzy PID controller. The simulated system has fifteen degrees of freedom and is modeled using nonlinear behavior of the base-structure interaction. The system is then simulated against the ground motion of the Northridge earthquake (M w = 6.7) in USA on 17 January, 1994. Finally, the time history of the storey displacements, accelerations, ATMD displacements, control voltage and frequency responses of both the uncontrolled and R. Guclu ( ) · controlled cases are presented. The ground motion recorded of the El-Centro and Kocaeli earthquakes has been used to evaluate the effectiveness of the proposed control algorithm. The robustness of the controller has been checked through the uncertainty in stiffness of the structure. Simulation results exhibit that superior vibration suppression is achieved by the use of designed fuzzy PID type controllers.

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Active vibration control of a multi-degree-of-freedom structure by the use of direct model reference adaptive control

Cited by 16 publications

References 8 publications

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

Self-tuning fuzzy logic control of crane structures against earthquake induced vibration

Self-tuning fuzzy logic control of a non-linear structural system with ATMD against earthquake

Seismic-vibration mitigation of a nonlinear structural system with an ATMD through a fuzzy PID controller

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