Real‐time experimental validation of a novel semi‐active control scheme for vibration mitigation

Summary This study performs an experimental investigation of a novel, semi-active control strategy for effective vibration mitigation. The implemented approach comprises a combination of the linear quadratic regulator with a nonlinear observer, namely, the unscented Kalman filter, for the control of systems described by uncertainties. Indeed, numerical models of structural systems often result as inadequate because of inherent uncertainties, such as noise, modeling errors, unknown system properties, or influence of varying operational and environmental conditions. In tackling this issue, the unscented Kalman filter is herein employed for adaptive joint state and parameter estimation refining the accuracy of the model employed by the controller and resulting in enhanced vibration mitigation. A scaled five-story shear frame attached to a hydraulic cylinder comprises the tested structure, where actuation is provided by means of a rotational magnetorheological damper operating on the relative motion between the ground floor and the first floor plate. The experimentally obtained results demonstrate a good agreement with simulations and encourage further implementation of the proposed framework in field applications of structural control. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Andrei M. Reinhorn,et al.  Real‐time control of shake tables for nonlinear hysteretic systems , 2017 .

[2]  Eleni Chatzi,et al.  The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non‐collocated heterogeneous sensing , 2009 .

[3]  D. Inman,et al.  Comparison of Control Laws for Vibration Suppression Based on Energy Consumption , 2011 .

[4]  Hyung-Jo Jung,et al.  Real-time Hybrid Test on a Semi-actively Controlled Building Structure Equipped with Full-scale MR Dampers , 2010 .

[5]  Mohammad S. Miah,et al.  Semi-active control of structural systems with uncertainties using an unscented Kalman filter , 2013 .

[6]  Shirley J. Dyke,et al.  Semiactive Control Strategies for MR Dampers: Comparative Study , 2000 .

[7]  T. T. Soong,et al.  An Overview of Active Structural Control under Seismic Loads , 1991 .

[8]  Eleni Chatzi,et al.  Semi-active control for vibration mitigation of structural systems incorporating uncertainties , 2015 .

[9]  Shirley J. Dyke,et al.  PHASE I BENCHMARK CONTROL PROBLEM FOR SEISMIC RESPONSE OF CABLE-STAYED BRIDGES , 2003 .

[10]  Eleni Chatzi,et al.  An experimental validation of time domain system identification methods with fusion of heterogeneous data , 2015 .

[11]  Felix Weber,et al.  Robust force tracking control scheme for MR dampers , 2015 .

[12]  Simo Särkkä,et al.  Recursive Bayesian inference on stochastic differential equations , 2006 .

[13]  A. Corigliano,et al.  Parameter identification in explicit structural dynamics: performance of the extended Kalman filter , 2004 .

[14]  Biswajit Basu,et al.  A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe , 2014 .

[15]  John B. Mander,et al.  EXPERIMENTAL VALIDATION OF SEMI-ACTIVE RESETABLE ACTUATORS IN A 1/5TH SCALE TEST STRUCTURE , 2009 .

[16]  Stefan Hurlebaus,et al.  Semi-active adaptive control of seismically excited 20-story nonlinear building , 2013 .

[17]  Felix Weber,et al.  Clipped viscous damping with negative stiffness for semi-active cable damping , 2011 .

[18]  Nicola Caterino,et al.  Semi-active control of a wind turbine via magnetorheological dampers , 2015 .

[19]  Erkan Zergeroglu,et al.  A new semiactive nonlinear adaptive controller for structures using MR damper: Design and experimental validation , 2011 .

[20]  Eleni Chatzi,et al.  Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty , 2010 .

[21]  Kazuhiko Kasai,et al.  Passive Control Systems for Seismic Damage Mitigation , 1998 .

[22]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[23]  Billie F. Spencer,et al.  Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction , 1996 .

[24]  B. F. Spencer,et al.  STATE OF THE ART OF STRUCTURAL CONTROL , 2003 .

[25]  Rahmi Guclu,et al.  Seismic-vibration mitigation of a nonlinear structural system with an ATMD through a fuzzy PID controller , 2009 .