Modeling the Response of ER Damper: Phenomenology and Emulation

Burton, Scott A.; Makris, Nicos; Konstantopoulos, Ioannis K.; Antsaklis, Panos J.

doi:10.1061/(asce)0733-9399(1996)122:9(897)

Cited by 36 publications

(26 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other approaches have also been taken in recent years, such as neural networks [8], and Chebyshev polynomial techniques [9]. Whilst the models can agree well with experimental data, they generally fail to explain the observed behaviour.…”

Section: Introductionmentioning

confidence: 99%

The Electrorheological Long-Stroke Damper: A New Modelling Technique With Experimental Validation

Sims

Peel

Stanway

et al. 2000

Journal of Sound and Vibration

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

The Electrorheological Long-Stroke Damper: A New Modelling Technique With Experimental Validation

Sims

Peel

Stanway

et al. 2000

Journal of Sound and Vibration

View full text Add to dashboard Cite

“…(1)(2)(3)(4)(5)(6)(7)(8). The optimization was performed using the sequential quadratic programming algorithm available in MATLAB [31].…”

Section: Wires To Electromagnetmentioning

confidence: 99%

“…3 has been shown to accurately predict the behavior of the prototype MR damper over a broad range of inputs [42]. The applied force predicted by this model is given by (1) or equivalently (2) where the evolutionary variable is governed by [45] …”

Section: Wires To Electromagnetmentioning

confidence: 99%

“…Examples of such devices that have been considered for civil engineering applications include: variable orifice dampers [9,26,29,34,36,38], controllable friction braces [1,10], controllable friction isolators [19], variable stiffness devices [27], and electrorheological (ER) dampers [2,17,18,21,30,32]. The effectiveness of one semi-active control system employing a variable stiffness system has already been proven in a low-rise building in Japan [28].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and control of magnetorheological dampers for seismic response reduction

Dyke

Spencer

Sain

et al. 1996

Smart Mater. Struct.

1,175

837

View full text Add to dashboard Cite

Control of civil engineering structures for earthquake hazard mitigation represents a relatively new area of research that is growing rapidly. Control systems for these structures have unique requirements and constraints. For example, during a severe seismic event, the external power to a structure may be severed, rendering control schemes relying on large external power supplies ineffective. Magnetorheological (MR) dampers are a new class of devices that mesh well with the requirements and constraints of seismic applications, including having very low power requirements. This paper proposes a clipped-optimal control strategy based on acceleration feedback for controlling MR dampers to reduce structural responses due to seismic loads. A numerical example, employing a newly developed model that accurately portrays the salient characteristics of the MR dampers, is presented to illustrate the effectiveness of the approach.

show abstract

“…These include neural networks [9], visco-elastic type models [10], Bouc-Wen models [11], and Eyring models [12], to name but a few. These models have been used for a variety of purposes: to explain observed behaviour, to help design control strategies, or to predict the performance of a vibration system with smart damper control.…”

Section: Introductionmentioning

confidence: 99%

<title>Modelling of smart fluid dampers</title>

Sims

Wereley

2003

SPIE Proceedings

View full text Add to dashboard Cite

Smart fluid dampers offer an attractive solution to vibration damping problems where there is a need for variable damping behaviour. In recent years there has been a great deal of research effort in developing these dampers, and implementing appropriate control strategies. Consequently a wide range of modelling techniques have been proposed, for both device design and controller design processes. In general, however, the development of modelling and control techniques has proceeded in parallel to the development of laboratory-based devices. Consequently the techniques become well suited to those particular devices, and their performance in a more generic device design process may not be guaranteed. A more thorough method of illustrating the performance of models would be to investigate their performance when based upon different devices. This would help to emphasise the strengths and potential weaknesses of the model when used in a generic device design process. In this paper, the authors will seek to assess the robustness of a modelling technique by assessing its performance when based upon an 'unrelated' damper design from a different research group.

show abstract

Modeling the Response of ER Damper: Phenomenology and Emulation

Cited by 36 publications

References 20 publications

The Electrorheological Long-Stroke Damper: A New Modelling Technique With Experimental Validation

The Electrorheological Long-Stroke Damper: A New Modelling Technique With Experimental Validation

Modeling and control of magnetorheological dampers for seismic response reduction

<title>Modelling of smart fluid dampers</title>

Contact Info

Product

Resources

About