Feasibility and Assessment of Real Time Monitoring Systems for Smart Structural Control of Wind Turbines

  • N. CaterinoEmail author
  • G. Pugliano
  • M. Spizzuoco
  • U. Robustelli
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 27)


A semi-active (SA) control strategy has been proposed by the authors in the recent years to mitigate structural demand to high wind turbines against strong wind loads. Numerical as well as experimental analyses shown it is really promising and potentially useful to owners who want to optimize costs of realization and installation of such huge structures. The application to real cases of this technique, since based on the use of variable dissipative devices, requires the tower is instrumented for real time monitoring of structural response of the tower. This allows the control algorithm to make the decision about the optimal calibration, moment by moment, of the variable devices. Making reliable high frequency measurements of the horizontal displacement of points placed at a height of tens of meters can be not so trivial. With the aim of evaluating the efficiency and feasibility of Global Navigation Satellite System (GNSS)-based systems for structural control of wind turbines, this paper try to obtain insight into the characteristics (receiver type, type of observables, sampling data rate) and data processing techniques that can make the GNSS useful for such application. Finally, numerical investigations referred to a case study allow to discuss how the features of the measurement system may affect the performance of the proposed SA technique in reducing structural demand due to wind induced vibrations.


Wind turbines Semi-active control GNSS Real time monitoring 



The research activity has been supported by the University of Naples ‘‘Parthenope” with a grant within the call ‘‘Support for Individual Research for the 2015–17 Period” issued by Rectoral Decree no. 793/2017. The above support is gratefully acknowledged.


  1. Ashkenazi V, Dodson AH, Moore T, Roberts GW (1996) Real time OTF GPS monitoring of the Humber bridge. Surv World 4(4):26–28Google Scholar
  2. Ashkenazi V, Roberts GW (1997) Experimental monitoring of the Humber bridge using GPS. In: Proceedings of the institution of civil engineers-civil engineering, vol 120, no Nov, pp 177–182Google Scholar
  3. Caterino N (2015) Semi-active control of a wind turbine via magnetorheological dampers. J Sound Vib 345:1–17CrossRefGoogle Scholar
  4. Caterino N, Georgakis CT, Spizzuoco M, Occhiuzzi A (2016) Design and calibration of a semi-active control logic to mitigate structural vibrations in wind turbines. Smart Struct Syst 18(1):75–92CrossRefGoogle Scholar
  5. Celebi M (2000) GPS in dynamic monitoring of long-period structures. Soil Dyn Earthq Eng 20(5–8):477–483CrossRefGoogle Scholar
  6. Chen J, Georgakis CT (2013) Tuned rolling-ball dampers for vibration control in wind turbines. J Sound Vib 332:5271–5282CrossRefGoogle Scholar
  7. Chmielewski T, Górski P (2015) Full-scale investigations of civil engineering structures using GPS. In: Chang et al (eds) Advances in civil engineering and building materials IV. CRC Press, London, pp 171–175CrossRefGoogle Scholar
  8. Fuggini C (2009) Using satellites systems for structural monitoring: accuracy, uncertainty and reliability. Ph.D. thesis, Civil Engineering VIII Nuova serie (XXII Ciclo), Università di PaviaGoogle Scholar
  9. Im SB, Hurlebaus S, Kang YJ (2013) Summary review of GPS technology for structural health monitoring. J Struct Eng 139(10):1653–1664CrossRefGoogle Scholar
  10. Kaloop M, Elbeltagi E, Hu J, Elrefai A (2017) Recent advances of structures monitoring and evaluation using GPS-time series monitoring systems: a review. ISPRS Int J Geo-Inf 6:382CrossRefGoogle Scholar
  11. Lovse JW, Teskey WF, Lachapelle G, Cannon ME (1995) Dynamic deformation monitoring of tall structure using GPS technology. J Surv Eng 121(1):35–40CrossRefGoogle Scholar
  12. Mostböck A, Petryna Y. (2014) Structural vibration monitoring of wind turbines. In: 9th international conference on structural dynamics, EURODYN 2014, Porto, PortugalGoogle Scholar
  13. Psimoulis P, Pytharouli S, Karambalis D, Stiros S (2008) Potential of global positioning system (GPS) to measure frequencies of oscillations of engineering structures. J Sound Vib 318(3):606–623CrossRefGoogle Scholar
  14. Pugliano G, Robustelli U, Rossi F, Santamaria R (2016) A new method for specular and diffuse pseudorange multipath error extraction using wavelet analysis. GPS Solutions 20(3):499–508CrossRefGoogle Scholar
  15. Robustelli U, Pugliano G. (2018a) GNSS code multipath short-time fourier transform analysis. Navig J Inst Navig Scholar
  16. Robustelli U, Pugliano G (2018b) Code multipath analysis of galileo FOC satellites by time-frequency representation. Appl Geomat Scholar
  17. Wang D, Meng X, Gao C, Pan S, Chen Q (2017) Multipath extraction and mitigation for bridge deformation monitoring using a single-difference model. Adv Space Res 60(2017):2882–2895CrossRefGoogle Scholar
  18. Yi T-H, Li H-N, Gu M (2013) Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge. Measurement 46(2013):420–432CrossRefGoogle Scholar
  19. Yu J, Meng X, Shao X, Yan B, Yang L (2014) Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing. Eng Struct 81(2014):432–443CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • N. Caterino
    • 1
    • 2
    Email author
  • G. Pugliano
    • 1
  • M. Spizzuoco
    • 3
  • U. Robustelli
    • 1
  1. 1.Department of EngineeringUniversity of Naples “Parthenope”NaplesItaly
  2. 2.Institute of Technologies for Construction, CNRMilanItaly
  3. 3.Department of Structures for Engineering and ArchitectureUniversity of Naples Federico IINaplesItaly

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