Comparison of real-time hybrid testing with shake table tests for an MR damper controlled structure

Lin, Yi Zhong; Christenson, Richard

doi:10.1109/acc.2009.5160643

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…A 200 kN MR damper developed by the Lord Corporation is used for the simulations and RTHS discussed herein [43]. A series of tests are conducted using an experimental 200 kN MR damper [39][40][41] at the Smart Structures Technology Lab (SSTL) and the real-time multi-directional (RTMD) facility at the NEES@Lehigh Laboratory. A hydraulic actuator is used to drive the damper, and the damper displacement and force are measured.…”

Section: Mr Damper-phenomenological Bouc-wen Modelmentioning

confidence: 99%

Over-driven control for large-scale MR dampers

Friedman

Dyke

Phillips

2013

Smart Mater. Struct.

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As semi-active electro-mechanical control devices increase in scale for use in real-world civil engineering applications, their dynamics become increasingly complicated. Control designs that are able to take these characteristics into account will be more effective in achieving good performance. Large-scale magnetorheological (MR) dampers exhibit a significant time lag in their force–response to voltage inputs, reducing the efficacy of typical controllers designed for smaller scale devices where the lag is negligible. A new control algorithm is presented for large-scale MR devices that uses over-driving and back-driving of the commands to overcome the challenges associated with the dynamics of these large-scale MR dampers. An illustrative numerical example is considered to demonstrate the controller performance. Via simulations of the structure using several seismic ground motions, the merits of the proposed control strategy to achieve reductions in various response parameters are examined and compared against several accepted control algorithms. Experimental evidence is provided to validate the improved capabilities of the proposed controller in achieving the desired control force levels. Through real-time hybrid simulation (RTHS), the proposed controllers are also examined and experimentally evaluated in terms of their efficacy and robust performance. The results demonstrate that the proposed control strategy has superior performance over typical control algorithms when paired with a large-scale MR damper, and is robust for structural control applications.

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Section: Mr Damper-phenomenological Bouc-wen Modelmentioning

confidence: 99%

Over-driven control for large-scale MR dampers

Friedman

Dyke

Phillips

2013

Smart Mater. Struct.

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“…For this application, the load bearing structure has been simulated in a numerical model, while damping fixtures has been tested experimentally e.g. elastomer , stud types and magneto‐rheological . However, to close the gap between full scale and material testing within the industry of wind energy, the hybrid simulation concept is implemented for a single component structure – referred to here as single component hybrid simulation.…”

Section: Introductionmentioning

confidence: 99%

Quasi‐Static Single‐Component Hybrid Simulation of a Composite Structure with Multi‐Axis Control

Høgh

Waldbjørn

Schmidt

et al. 2015

Strain

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This paper presents a quasi‐static hybrid simulation performed on a single component structure. Hybrid simulation is a substructural technique, where a structure is divided into two sections: a numerical section of the main structure and a physical experiment of the remainder. In previous cases, hybrid simulation has typically been applied to structures with a simple connection between the numerical model and physical test, e.g. civil engineering structures. In this paper, the method is applied to a composite structure, where the boundary is more complex i.e. 3 degrees of freedom. In order to evaluate the validity of the method, the results are compared to a test of the emulated structure – referred to here as the reference test. It was found that the error introduced by compliance in the load train was significant. Digital image correlation was for this reason implemented in the hybrid simulation communication loop to compensate for this source of error. Furthermore, the accuracy of the hybrid simulation was improved by compensating for communication delay. The test showed high correspondence between the hybrid simulation and the reference test in terms of overall deflection as well as displacements and rotation in the shared boundary.

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