GMV Control algorithm for structures under recorded strong earthquakes including soil characteristics

Mohamed, Anis; Guenfaf, Lakhdar

doi:10.1109/iccas.2015.7364628

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Multivariable Model1

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2016

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“…We can introduce here the seismic excitation model in the derivation of the multivariable ARMAX model. By considering the seismic excitation as a filtered white noise, we follow the same calculations as done in Section 3.1, to obtain the discrete multivariable ARMAX model of the structure under a specified excitation model [23].…”

Section: Multivariable Modelmentioning

confidence: 99%

Generalized Minimum Variance Control for MDOF Structures under Earthquake Excitation

Guenfaf

Mohamed

2016

Journal of Control Science and Engineering

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Control of a multi-degree-of-freedom structural system under earthquake excitation is investigated in this paper. The control approach based on the Generalized Minimum Variance (GMV) algorithm is developed and presented. Our approach is a generalization to multivariable systems of the GMV strategy designed initially for single-input-single-output (SISO) systems. Kanai-Tajimi and Clough-Penzien models are used to generate the seismic excitations. Those models are calculated using the specific soil parameters. Simulation tests using a 3DOF structure are performed and show the effectiveness of the control method.

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Section: Multivariable Modelmentioning

confidence: 99%