Experimental investigation of an active mass damper with acceleration feedback sliding mode control

Active control strategies are more powerful and attractive than passive and semi-active control strategies. An active control device, namely active mass damper (AMD), consists of mass, a guideway, and an AC-driven motor and can provide a widely applicable range of control forces with a very limited power requirement. This device can be more effective to suppress earthquake- or wind-induced vibrations to civil structures. Various innovative control algorithms have been developed to drive AMD against seismic loads, and these new or improved algorithms are also found as a key element in smart structure technology. Some research on active control strategies for the reduction of the seismic responses uses either full-state or, at least, velocity feedback; however, the accurate measurement of the displacement and velocity is typically unavailable from real-world structures. Instead, the control algorithms based on acceleration feedback are more feasible for the practical implementation of control system. In this study, an active control system is developed by integrating an AC-driven AMD and accelerometers. This system is comprised of a real-time embedded system with a control algorithm which executes the sliding mode control (SMC) with acceleration feedback. The acceleration feedback SMC controller is designed in accordance with an identified model of a model building. Subsequently, this control system is experimentally implemented and verified using shake table testing. Performance of the integrated system as well as the responses of the frame are evaluated and discussed to demonstrate the effectiveness of the acceleration feedback SMC algorithm in mitigating vibrations of seismically-excited structures.

[1]  Chae-Wook Lim,et al.  Active vibration control of the linear structure with an active mass damper applying robust saturation controller , 2008 .

[2]  In Won Lee A Survey of State Feedback Control for Seismic Response Reduction by Active Mass Damper , 2000 .

[3]  Chin-Hsiung Loh,et al.  Combination of decentralized sliding mode control and online wavelet analysis for control of equipment with isolation system , 2019, Structural Control and Health Monitoring.

[4]  J. Teng,et al.  Influence analysis of time delay to active mass damper control system using pole assignment method , 2016 .

[5]  Shirley J. Dyke,et al.  Implementation of an active mass driver using acceleration feedback control , 1996 .

[6]  Jack W. Baker,et al.  Quantitative Classification of Near-Fault Ground Motions Using Wavelet Analysis , 2007 .

[7]  Karolos M. Grigoriadis,et al.  robust control design of active structural vibration suppression using an active mass damper , 2008 .

[8]  Dongmei Tan,et al.  Simulation and experimental tests on active mass damper control system based on Model Reference Adaptive Control algorithm , 2014 .

[9]  Fahim Sadek,et al.  A METHOD OF ESTIMATING THE PARAMETERS OF TUNED MASS DAMPERS FOR SEISMIC APPLICATIONS , 1997 .

[10]  Domenico Guida,et al.  OPTIMAL CONTROL DESIGN BY ADJOINT-BASED OPTIMIZATION FOR ACTIVE MASS DAMPER WITH DRY FRICTION , 2014 .

[11]  Hung T. Nguyen,et al.  Continuous Sliding Mode Control , 1995 .

[12]  Robert J. McNamara,et al.  Tuned Mass Dampers for Buildings , 1977 .

[13]  Mehdi Soleymani,et al.  Modified sliding mode control of a seismic active mass damper system considering model uncertainties and input time delay , 2018 .

[14]  Moon K. Kwak,et al.  Designing multi-input multi-output modal-space negative acceleration feedback control for vibration suppression of structures using active mass dampers , 2019 .

[15]  Moon K. Kwak,et al.  Active vibration control of structure by Active Mass Damper and Multi-Modal Negative Acceleration Feedback control algorithm , 2017 .

[16]  Rahmi Guclu,et al.  Evaluation of Sliding Mode and Proportional-Integral-Derivative Controlled Structures with an Active Mass Damper , 2005 .

[17]  Tsung-Chih Lin,et al.  Adaptive hybrid type-2 intelligent sliding mode control for uncertain nonlinear multivariable dynamical systems , 2011, Fuzzy Sets Syst..

[18]  Chi-Chang Lin,et al.  Practical design issues of tuned mass dampers for torsionally coupled buildings under earthquake loadings , 2008 .

[19]  Sriram Narasimhan,et al.  Adaptive Compensation for Detuning in Pendulum Tuned Mass Dampers , 2011 .

[20]  Jack W. Baker,et al.  An Empirically Calibrated Framework for Including the Effects of Near-Fault Directivity in Probabilistic Seismic Hazard Analysis , 2011 .