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Energy harvesting and power management of wireless sensors for structural control applications in civil engineering

  • Received : 2011.06.10
  • Accepted : 2012.07.28
  • Published : 2012.09.25

Abstract

The authors' research efforts recently led to the development of a customized wireless control unit which receives the real-time feedbacks from the sensors, and elaborates the consequent control signal to drive the actuator(s). The controller is wireless in performing the data transmission task, i.e., it receives the signals from the sensors without the need of installing any analogue cable connection between them, but it is powered by wire. The actuator also needs to be powered by wire. In this framework, the design of a power management unit is of interest only for the wireless sensor stations, and it should be adaptable to different kind of sensor requirements in terms of voltage and power consumption. In the present paper, the power management efficiency is optimized by taking into consideration three different kinds of accelerometers, a load cell, and a non-contact laser displacement sensor. The required voltages are assumed to be provided by a power harvesting solution where the energy is stored into a capacitor.

Keywords

References

  1. Battaini, M. (1999), "Controlled structural systems: design and reliability", Struct. Health Monit., 6(1), 11-52.
  2. Casciati, F. and Rossi, R. (2004), Fuzzy chip controllers and wireless links in smart structures, in Advances in Smart Technologies in Structural Engineering, Jadwisin, Poland, Springer Verlag.
  3. Casciati, F. and Rossi, R. (2007), "A power harvester for wireless sensing applications", Struct. Health Monit., 14(4), 649-659. https://doi.org/10.1002/stc.179
  4. Casciati, S. (2008), "Stiffness identification and damage localization via differential evolution algorithms", Struct. Health Monit., 15(3), 436-449. https://doi.org/10.1002/stc.236
  5. Casciati, S. (2010), "Statistical approach to a SHM benchmark problem", Smart Struct. Syst., 6(1), 17-27. https://doi.org/10.12989/sss.2010.6.1.017
  6. Casciati, S. (2010), "Response surface models to detect and localize distributed cracks in a complex continuum", J. Eng. Mech.- ASCE, 136(9), 1131-1142. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000148
  7. Casciati, S. and Al-Saleh, R. (2010), "Dynamic behavior of a masonry civic belfry under operational conditions", Acta Mech., 215(1-4), 211-224. https://doi.org/10.1007/s00707-010-0343-4
  8. Casciati, S. and Osman, A. (2005), "Damage assessment and retrofit study for the luxor memnon colossi", Struct. Health Monit., 12(2), 139-156. https://doi.org/10.1002/stc.53
  9. Casciati, S. and Faravelli, L. (2010), "Vulnerability assessment for medieval civic towers", Struct. Infrastruct. E., 6(1-2), 193-203. https://doi.org/10.1080/15732470802664290
  10. Casciati, S. and Chen, Z.C. (2011), "A multi-channel wireless connection system for structural health monitoring applications", Struct. Health Monit., 18(5), 588-600. https://doi.org/10.1002/stc.403
  11. Casciati S. and Chen, Z.C. (2012), "An active mass damper system for structural control using real-time wireless sensors", Struct. Health Monit., early view, DOI: 10.1002/stc.1485.
  12. Lynch, J.P. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib., 38(2), 91-128. https://doi.org/10.1177/0583102406061499
  13. Lynch, J.P., Wang, Y., Swartz, R.A., Lu, K.C. and Loh, C.H. (2008), "Implementation of a closed-loop structural control system using wireless sensor networks", Struct. Health Monit., 15(4), 518-539. https://doi.org/10.1002/stc.214
  14. Messervey, T.B., Frangopol, D.M. and Casciati, S. (2011), "Application of the statistics of extremes to the reliability assessment and performance prediction of monitored highway bridges", Struct. Infrastruct. E., 7(1), 87-99. https://doi.org/10.1080/15732471003588619
  15. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer Jr., B.F., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  16. Spencer Jr., B.F. and Nagarajaiah, S. (2003), "State of the art of structural control", J. Struct. Eng. - ASCE, 129(7), 845-856. https://doi.org/10.1061/(ASCE)0733-9445(2003)129:7(845)

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