Skip to main content
Log in

Control strategies and experimental verifications of the electromagnetic mass damper system for structural vibration control

  • Published:
Earthquake Engineering and Engineering Vibration Aims and scope Submit manuscript

Abstract

The electromagnetic mass damper (EMD) control system, as an innovative active control system to reduce structural vibration, offers many advantages over traditional active mass driver/damper (AMD) control systems. In this paper, studies of several EMD control strategies and bench-scale shaking table tests of a two-story model structure are described. First, two structural models corresponding to uncontrolled and Zeroed cases are developed, and parameters of these models are validated through sinusoidal sweep tests to provide a basis for establishing an accurate mathematical model for further studies. Then, a simplified control strategy for the EMD system based on the pole assignment control algorithm is proposed. Moreover, ideal pole locations are derived and validated through a series of shaking table tests. Finally, three benchmark earthquake ground motions and sinusoidal sweep waves are imposed onto the structure to investigate the effectiveness and feasibility of using this type of innovative active control system for structural vibration control. In addition, the robustness of the EMD system is examined. The test results show that the EMD system is an effective and robust system for the control of structural vibrations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Abdel-Rohman M and Leipholz HHE (1978), “Structural Control by Pole Assignment Method,” ASCE Journal of Engineering Mechanics, 104: 1157–1175.

    Google Scholar 

  • Battaini M, Yang G and Spencer BF Jr (2000), “Bench-Scale Experiment for Structural Control,” ASCE Journal of Engineering Mechanics, 126(2): 140–148.

    Article  Google Scholar 

  • Chu SY, Soong TT, and Reinhorn AM (2002), “Real-time Active Control Verification via a Structural Simulator,” Engineering Structures, 24(3): 343–353.

    Article  Google Scholar 

  • Dyke SJ, Spencer BF, Belknap AE, Ferrell KJ, Quast P, and Sain MK (1994), “Absolute Acceleration Feedback Control Strategies for the Active Mass Driver,” Proc. First World Conference on Structural Control, Pasadena, California, Vol. 2 (TP1), pp.51–60.

    Google Scholar 

  • Dyke SJ, Spencer BF Jr, Quast P, Kaspari DC Jr. and Sain MK (1996), “Implementation of an Active Mass Driver Using Acceleration Feedback Control,” Microcomputers in Civil Engineering: Special Issue on Active and Hybrid Structural Control, 11: 305–323.

    Google Scholar 

  • Guo AX, Xu YL and Li H (2007), “Dynamic Performance of Cable-stayed Bridge Tower with Multistage Pendulum Mass Damper under Wind Excitations I: Theory,” Earthquake Engineering and Engineering Vibration, 6(3): 295–306.

    Article  Google Scholar 

  • Housner GW, Bergman LA, Caughey TK, Chassiakos AG, Claus RO, Masri SF, Skelton RE, Soong TT, Spencer BF and Yao JTP (1997), “Structural Control: Past, Present, and Future,” J. Engng Mech, ASCE, 123(9): 897–971.

    Article  Google Scholar 

  • Ou JP (2003), Structural Vibration Control — Active, Semi-active and Smart Control, Science Press, Beijing. (in Chinese)

    Google Scholar 

  • Ou JP and Zhang CW (2007), “Modeling and Dynamical Testing of an Innovative Electro-magnetic Active Mass Driver Control System for Structural Vibration,” Chinese High Technology Letters, 17(4): 382–388. (in Chinese)

    Google Scholar 

  • Quanser Consulting Inc. (2002), Active Mass Damper: Two-Floor (AMD-2), User Manual.

  • Quast P, Sain MK, Spencer BF Jr and Dyke SJ (1995), “Microcomputer Implementations of Digital Control Strategies for Structural Response Reduction,” Microcomputers in Civil Engineering: Special Issue on New Directions in Computer Aided Structural System Analysis, Design and Optimization, 10: 13–25.

    Google Scholar 

  • Samali B, Al-Dawod M and Li JC (2003), “Performance of an Active Mass Driver System on a Five Storey Benchmark Model,” JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing, 46(3): 848–853.

    Google Scholar 

  • Shiba K, Nakamura Y and Yokota H (1989), “Experimental Study on Structural Control for Seismic Loads Using Passive and Active Devices,” Seismic Engineering: Research and Practice, San Francisco, CA, USA, May 1–5: 129–138.

    Google Scholar 

  • Song G, Lin JH, Zhao Y, Howson WP and Williams FW (2007), “Robust H Infinite Control for Aseismic Structures with Uncertainties in Model Parameters,” Earthquake Engineering and Engineering Vibration, 6(4): 409–416.

    Article  Google Scholar 

  • Soong TT (1990), Active Structure Control Theory and Practice, Longman Scientific & Technical. New York, USA.

    Google Scholar 

  • Spencer BF Jr, Dyke SJ and Deoskar HS (1998), “Benchmark Problems in Structural Control: Part I — Active Mass Driver System,” Earthquake Engineering and Structural Dynamics, 27(11): 1127–1139.

    Article  Google Scholar 

  • Spencer BF Jr and Nagarajaiah S (2003), “State of the Art of Structural Control,” ASCE Journal of Structural Engineering, 129(7): 845–856.

    Article  Google Scholar 

  • Spencer BF Jr and Sain MK (1997), “Controlling Buildings: A New Frontier in Feedback,” IEEE Control Systems Magazine: Special Issue on Emerging Technologies (Tariq Samad Guest Ed.), 17(6): 19–35.

    Google Scholar 

  • Tong M and Liebner T (2007), “Loss of Energy Dissipation Capacity from the Deadzone in Linear and Nonlinear Viscous Damping Devices,” Earthquake Engineering and Engineering Vibration, 6(1): 11–20.

    Article  Google Scholar 

  • Wang SG, Yeh HY and Roschke PN (2001), “Robust Control for Structural Systems with Parametric and Unstructured Uncertainties,” Proceedings of the American Control Conference. Arlington, VA, pp.1109–1114.

  • Xu L, Yi WJ and Yi ZH (2007), “Uncertainty Analysis of Strain Modal Parameters by Bayesian Method Using Frequency Response Function,” Earthquake Engineering and Engineering Vibration, 6(2): 183–189.

    Article  Google Scholar 

  • Xue DY (2000), Design and Analysis of Feedback Control System: the Application of MATLAB, Tsinghua University Press, Beijing. (in Chinese)

    Google Scholar 

  • Yao JTP (1972), “Concept of Structure Control,” Journal of Structure Division, ASCE, 98(ST7): 1567–1574.

    Google Scholar 

  • Yoshida I, Kurose H, Fukui S and Iemura H (1995), “Parameter Identification on Active Control of a Structural Model,” Smart Materials and Structures, 4(1A): A82–A90.

    Article  Google Scholar 

  • Zhang CW (2005), “Electromagnetic AMD Systems and their Relevant Theory and Experiments for Structural Vibration Control,” Ph.D thesis, of Harbin Institute of Technology, Harbin.

    Google Scholar 

  • Zhang CW and Ou JP (2008), “Control Structure Interaction of Electromagnetic Mass Damper System for Structural Vibration Control,” Journal of Engineering Mechanics ASCE, 134(5), 1–9.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinping Ou.

Additional information

Supported by: The National Natural Science Foundation of China Under Grant. No.50608026 and The National Major Foundamental Program (973 Program) of China Under Grant No. 2007CB714204

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, C., Ou, J. Control strategies and experimental verifications of the electromagnetic mass damper system for structural vibration control. Earthq. Eng. Eng. Vib. 7, 181–192 (2008). https://doi.org/10.1007/s11803-008-0828-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11803-008-0828-5

Keywords

Navigation