Application of Centralized and Decentralized Control to Building Structure: Analytical Study

Loh, Chin‐Hsiung; Chang, Chia‐Ming

doi:10.1061/(asce)0733-9399(2008)134:11(970)

Cited by 26 publications

(26 citation statements)

References 14 publications

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“…19 Many applications using decentralized control architecture had been studied. 20,21 In this study, an effective decentralized control architecture will be introduced.…”

Section: Decentralized Sliding Mode Control Using Static Output Feementioning

confidence: 99%

Combination of decentralized sliding mode control and online wavelet analysis for control of equipment with isolation system

Huang

Loh

2019

Struct Control Health Monit

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Summary Critical equipment and machinery, especially the one in the technology facilities, hospitals, data centers, etc., are vulnerable to strong earthquakes, and most importantly, the failure of the critical equipment will result in countless economic loss, directly and indirectly. For decades, passive control devices in the form of isolation systems between the equipment and its supporting structure have been acknowledged as an effective measure to promote the earthquake resistibility on the basis of theoretical and experimental results. Alternative to passive isolation systems, researchers found that adding a semiactive device to the isolation system can increase damping and lessen the isolator displacement. In order to mitigate the acceleration of equipment, various control algorithms have been developed to reduce the response produced by the internal forces. However, little attention has been given to the balance between the response of equipment and the structural response. In this study, an innovative control algorithm is developed based on decentralized control architecture and wavelet analysis, and this control algorithm is proposed for semiactive isolation systems to protect acceleration‐sensitive equipment against strong earthquakes. Subsequently, a full‐scale specimen is constructed; moreover, a curved surface slider (CSS) system with a magneto‐rheological (MR) damper are placed between the equipment and the floor to suppress the vibration. The experiment is conducted with a feedback control system to validate the performance and efficiency of proposed control algorithm. In the last place, the discussion and some conclusion are also drawn in this paper.

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“…19 Many applications using decentralized control architecture had been studied. 20,21 In this study, an effective decentralized control architecture will be introduced.…”

Section: Decentralized Sliding Mode Control Using Static Output Feementioning

confidence: 99%

Combination of decentralized sliding mode control and online wavelet analysis for control of equipment with isolation system

Huang

Loh

2019

Struct Control Health Monit

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“…Rofooei and Monajemi‐Nezhad (, ) propose decentralized vibration control of 15‐story and 30‐story building structures subjected under ground motion, where the instantaneous optimal control and SMC algorithms are used to obtain the control force of each substructure. On the basis of the LQG control algorithm to obtain the control feedback of each substructure, Loh and Chang () compare centralized and decentralized control of a 20‐story benchmark building structure with four different control strategies. Treating forces at the interfaces of the substructures as external disturbances of each substructure, Lei, Wu, and Liu (, ) and Lei, Wu, and Lin () discuss decentralized control of a 20‐story benchmark building structure subjected to seismic loads using the LQG (Lei et al, ) and instantaneous optimal control and Kalman estimator (Lei, Wu, & Lin, ; Lei, Wu, & Liu, ).…”

Section: Decentralized Control Algorithmsmentioning

confidence: 99%

Control methodologies for vibration control of smart civil and mechanical structures

Adeli

2018

Expert Systems

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Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.

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“…For the control of linear civil structures, LQG control scheme (Loh and Chang, 2008) is a widely used efficient scheme. Herein, LQG based control scheme is used to design the local controller of the r th analyzed substructure.…”

Section: The New Decentralized Control Algorithmmentioning

confidence: 99%

“…Ma et al (2008) studied decentralized control of building structures by treating interconnections between adjacent subsystems as uncertain but bounded disturbances to the subsystem. Loh and Chang (2008) studied fully centralized control, fully decentralized control, half‐centralized control, and partially decentralized control to building structures.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, each local controller uses not only the partial information of the substructure but also the disturbances at the substructural interfaces to generate the local control action. The proposed decentralized control algorithm is based on the linear quadratic Gaussian (LQG) control scheme (Nagarajaiah and Narasimhan, 2007; Loh and Chang 2008). For many civil structures, it is not always possible or even cost‐effective to measure all the responses at the substructural interface degrees of freedom (DOFs).…”

Section: Introductionmentioning

confidence: 99%

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A Decentralized Control Algorithm for Large‐Scale Building Structures

Lei

Lin

2011

Computer aided Civil Eng

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Decentralized control strategy is more suitable for structural control of large-scale structural systems as it increases in the feasibility of control implementation and decreases the risk on the failure of the control system compared with the conventional centralized control approach. In this article, a decentralized control algorithm is proposed for large-scale linear building structures. A large-scale building structure is divided into a set of smaller substructures based on its finite element model. Interconnections between adjacent substructures are treated as disturbances to the individual substructure. Each substructure is controlled by its own local controller using linear quadratic Gaussian control scheme with acceleration measurements as feedback signals. A computational procedure is developed for the recursive estimation of the unknown disturbances to each substructure. Two cases, with substructure interface measurement and without substructure interface measurement respectively, are considered. A numerical example of the decentralized control of the 20-story Structural Engineers Association of California (SAC) benchmark linear building under seismic excitation is studied to evaluate the performance of the proposed algorithm. Simulation results demonstrate that the decentralized control algorithm has quite good control performance compared with the conventional centralized control approach. Therefore, the proposed decentralized control algorithm is viable for structural control of largescale linear structural systems.

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Application of Centralized and Decentralized Control to Building Structure: Analytical Study

Cited by 26 publications

References 14 publications

Combination of decentralized sliding mode control and online wavelet analysis for control of equipment with isolation system

Combination of decentralized sliding mode control and online wavelet analysis for control of equipment with isolation system

Control methodologies for vibration control of smart civil and mechanical structures

A Decentralized Control Algorithm for Large‐Scale Building Structures

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