Predictive suboptimal semiactive control of earthquake response

Aldemir, Ünal

doi:10.1002/stc.342

Cited by 6 publications

(7 citation statements)

References 55 publications

(70 reference statements)

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“…The first study reviewed in this section is on an implementable proposed predictive control algorithm for suppressing the earthquake response using a nonlinear semi-active damper [24]. The performance of a simple 2-DOF base-isolated structure was investigated numerically and given in Fig.…”

Section: New Semi-active Control Approaches Presented During Thementioning

confidence: 99%

A Short Review on the Active Control Approaches in Earthquake Engineering at the Last 10 Years (2008-2018)

Yanik¹,

Aldemir²

2019

IJET

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This paper is written to present the state of the art of the new active and semi active approaches during the last decade. This is achieved by reviewing the active control approaches and semi-active control policies that have been proposed and validated analytically or numerically in the last ten years. All the papers reviewed in this study are within the scope of earthquake engineering. Brief information about these active control approaches and some of the resulting control policies are presented. To be able to show the effectiveness of the proposed approaches, the numerical examples of these papers are presented in this study. Because of the latest technological and computational advances, some of the most effective and complex algorithms have been studied and numerically validated during the last decade in earthquake engineering. This is the reason that this review considers the period of 2008-2018. The authors also include some of the new semi-active control policies that have been proposed numerically during the last decade. It has been concluded that, although there is an impressive research on numerically and/or analytically validating new active control approaches and new semi-active control policies of the years 2008-2018, there is not any real-building / real structure implementation of these active control approaches. Additionally there is a need of experimental validation of these active control methods that have been presented during the last decade.

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Section: New Semi-active Control Approaches Presented During Thementioning

confidence: 99%

A Short Review on the Active Control Approaches in Earthquake Engineering at the Last 10 Years (2008-2018)

Yanik¹,

Aldemir²

2019

IJET

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“…If the elements of the matrix Q are chosen larger than the elements of R, minimizing the response of the structure is more important than the control forces; otherwise, minimization of the control forces is more important. The resulting optimal control law and the state vector can be obtained as 7) (8The detailed derivation of eqns (7) and (8) can be found in Yang et al [22].…”

Section: Instantaneous Optimal Control Algorithmmentioning

confidence: 99%

“…The aforementioned circumstances prompted researchers to investigate active control for reducing the excessive vibration caused by strong winds and earthquakes [3,4]. There have been increasing developments to improve the performance of active controlled systems [5][6][7]. Besides active control, passive control devices have also been used in protecting structures from earthquake-induced vibrations [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Energy distributions in actively and passively controlled nonlinear structures

Yanik¹,

Aldemir²,

Bakioglu³

2014

Int. J. CMEM

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In this study, the energy distributions of actively or passively controlled multistory nonlinear shear structures are investigated. Nonlinear differential equations of motion of the structure and the energy equations are derived for an uncontrolled and a controlled structure. A computer program which takes into account the nonlinearity of the material is developed and used for the dynamic analysis of the controlled and the uncontrolled structure. As numerical examples, two different structures are examined with six different control cases. These structures are a three-story and a twelve-story shear structure. In the dynamic analysis, the Erzincan and El Centro earthquakes are used. Active and passive controls are obtained by implementing base isolation and a mass damper into the structure. In addition, a hybrid structural control case is examined by implementing base isolation with an active mass damper to the structure. In total, six different passive and active control cases are investigated. An instantaneous optimal control algorithm, which minimizes the performance index defi ned as a time-dependent quadratic scalar functional instead of a quadratic integral functional and takes into account only the current state, is used as an active control algorithm. The results are given as force-displacement, acceleration, and energies in a comparative way for uncontrolled and controlled structures. The results show that the responses of the structure are reduced and the structural behavior is improved by using structural control.

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“…29 The stochastic optimal controls for linear and nonlinear systems have been studied and many control strategies have been presented. [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] However, the stochastic optimal control for a nonlinear system with a noised observation was only considered in several studies. 43 Under a specified condition, the separation theorem was applied to convert the nonlinear stochastic system with a noised observation into a completely observable linear system for determining optimal control, but the application is strongly limited.…”

Section: Introductionmentioning

confidence: 99%

Optimal Vibration Control for Structural Quasi-Hamiltonian Systems with Noised Observations

Ying¹,

Hu²,

Huan³

2017

IJAV

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A structural control system with smart sensors and actuators is considered and its basic dynamic equations are given. The controlled, stochastically excited, and dissipative Hamiltonian system with a noised observation is obtained by discretizing the nonlinear stochastic smart structure system. The estimated nonlinear stochastic system with control is obtained, in which the optimally estimated state is determined by the observation based on the extended Kalman filter. Then the dynamical programming equation for the estimated system is obtained based on the stochastic dynamical programming principle. From this, the optimal control law dependent on the estimated state is determined. The proposed optimal control strategy is applied to two nonlinear stochastic systems with controls and noised observations. The control efficacy for stochastic vibration response reductions of the systems is illustrated with numerical results. The proposed optimal control strategy is applicable to general nonlinear stochastic structural systems with smart sensors, smart actuators and noised observations.

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Predictive suboptimal semiactive control of earthquake response

Cited by 6 publications

References 55 publications

A Short Review on the Active Control Approaches in Earthquake Engineering at the Last 10 Years (2008-2018)

A Short Review on the Active Control Approaches in Earthquake Engineering at the Last 10 Years (2008-2018)

Energy distributions in actively and passively controlled nonlinear structures

Optimal Vibration Control for Structural Quasi-Hamiltonian Systems with Noised Observations

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