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DOI: 10.14569/IJACSA.2013.040726
PDF

Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark

Author 1: Silvio Simani
Author 2: Paolo Castaldi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 7, 2013.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Wind turbines are complex dynamic systems forced by stochastic wind disturbances, gravitational, centrifugal, and gyroscopic loads. Since their aerodynamics are nonlinear, wind turbine modelling is thus challenging. Therefore, the design of control algorithms for wind turbines must account for these complexities, but without being too complex and unwieldy. Therefore, the main contribution of this study consists of providing two examples of robust and viable control designs with application to a wind turbine simulator. Due to the description of the considered process, extensive simulations of this test case and Monte–Carlo analysis are the tools for assessing experimentally the achieved features of the suggested control schemes, in terms of reliability, robustness, and stability, in the presence of modelling and measurement errors. These developed control methods are finally compared with different approaches designed for the same benchmark, in order to evaluate the properties of the considered control techniques.

Keywords: control algorithms; fuzzy modelling and control; recursive estimation; adaptive PI controllers; wind turbine model.

Silvio Simani and Paolo Castaldi, “Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark” International Journal of Advanced Computer Science and Applications(IJACSA), 4(7), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040726

@article{Simani2013,
title = {Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040726},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040726},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Silvio Simani and Paolo Castaldi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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