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Wind turbine dynamics modelling by a bond graph approach

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Abstract

Wind energy is immensely promising source for power generation. Although the prospect of this field is truly reliable, but people are still facing challenges on precisely controlling the turbine due to uncertainty of wind flow, cracks in shaft, structural vibration, wear and tear in bearings and so on. An integrated and impeccable model of the wind turbine system is a momentous way in predicting numerous phenomena and there by enhance the efficacy of the control system in various conditions. Considering those indisputable facts, this research presents a novel horizontal-axis multi-body wind turbine system model based on a bond graph approach. The uniqueness of this wind turbine is to consider roller bearing in multi-body system. Furthermore, bond graph approach reveals two types of models based on the essence of causality where integral and derivative causal system models are obtained. Rigorous mathematical derivations are shown subsequently to support those two possible scenarios with Newtonian and Lagrangian methods that provide new insights in the philosophy of system modelling. Model is validated later by conducting virtual experiment in SOLIDWORKS and comparing results with a literature as well. At the end, model application in machine condition monitoring is emphasized by illustrating a backlash between gear teeth of the wind turbine system.

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Acknowledgements

Authors would like to acknowledge Alberta Innovates Technology Futures (AITF) and Mitacs Accelerate for the award to support the research work. Authors would also express their gratitude to Tannistha Maiti for assisting manuscript formatting.

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Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University DR NW, Calgary, AB, Canada

    Enaiyat Ghani Ovy & Qiao Sun

Authors
  1. Enaiyat Ghani Ovy
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  2. Qiao Sun
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Correspondence to Enaiyat Ghani Ovy.

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Ovy, E.G., Sun, Q. Wind turbine dynamics modelling by a bond graph approach. Int. J. Dynam. Control 6, 1523–1542 (2018). https://doi.org/10.1007/s40435-017-0390-y

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  • DOI: https://doi.org/10.1007/s40435-017-0390-y

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