Predictive Optimal Linear Control of Elastic Structures during Earthquake. Part I

Wong, Kevin K. F.

doi:10.1061/(asce)0733-9399(2005)131:2(131)

Cited by 17 publications

(1 citation statement)

References 12 publications

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“…The most common control algorithm is the linear quadratic regulator (Miyamoto et al, 2018a). Some of the control algorithms are classical linear optimal control (CLOC) (Aldemir, 2010; Aldemir et al, 2001, 2012; Bakioglu and Aldemir, 2001; Miyamoto et al, 2018a; Yanik et al, 2014), adaptive control (Bitaraf et al, 2010), fuzzy control (Pourzeynali et al, 2007; Reinhorn et al, 1996), H 2 and H ∞ control (Li and Adeli, 2016), proportional–integral–derivative control (Thenozhi and Yu, 2014), instantaneous optimal control algorithms (Akhiev et al, 2002; Chang and Yang, 1994; Wong and Yang, 2003; Yang et al, 1987), frequency domain strategies (Spencer et al, 1994), and predictive control (Mei et al, 2001, 2002; Wong, 2005a, 2005b).…”

Section: Introductionmentioning

confidence: 99%

A novel approach of active control of structures based on the critically damped condition

Rashidi

Khanlari

Zarfam

et al. 2020

Journal of Vibration and Control

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In this research, the active control of structures based on the critically damped condition was proposed for reducing displacements and drifts of structures under seismic loading. In this approach, the second-order dynamic equation is converted into a first-order dynamic equation and a first-order derivative operator with the same constants, which satisfy critically damped conditions of the system. Based on this concept and using the defined performance index, the feedback gain matrix of the structural velocity is obtained. In the method of active control of structures based on the critically damped condition, the control force, which is the linear definition of the feedback gain matrix and the structural velocity, is exerted on the structure in each time step. Four types of numerical examples are examined to the comparison verification of active control of structures based on the critically damped condition with the classical linear optimal control, standard model predictive control, and other methods proposed in several references. Programming and calculations are done by Mathcad prime mathematical software.

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Section: Introductionmentioning

confidence: 99%

A novel approach of active control of structures based on the critically damped condition

Rashidi

Khanlari

Zarfam

et al. 2020

Journal of Vibration and Control

View full text Add to dashboard Cite

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Semi‐active multi‐step predictive control of structures using MR dampers

2008

Earthq Engng Struct Dyn

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SUMMARYA semi-active multi-step predictive control (SAMPC) system with magnetorheological (MR) dampers is developed to reduce the seismic responses of structures. This system can predict the next multi-step responses of structure according to the current state and has a function of self-compensation for time delay that occurred in real application. To study the performance of the proposed control algorithm for addressing time delay and reducing the seismic responses, a numerical example of an 11-story structure with MR dampers is presented. Comparison with the uncontrolled structure indicates that both the peak and the norm values of structural responses are all clearly reduced when the predictive length l 10 and the delayed time step d 20 are selected, and the SAMPC strategy can guarantee the stability of the controlled structure and reduce the effects of time delay on controlled responses to a certain extent. A performance comparison is also made between the SAMPC strategy and the passive-off and passive-on methods; results indicate that this SAMPC system is more effective than the two passive methods in reducing structural responses subjected to earthquakes.

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