%0 Journal Article %1 IJACSA.2013.040726 %A Silvio Simani, Paolo Castaldi %D 2013 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K PI adaptive algorithms; and control control; controllers; estimation; fuzzy model. modelling recursive turbine wind %N 7 %T Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark %U http://ijacsa.thesai.org/ %V 4 %X 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.

@article{IJACSA.2013.040726, 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.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{Silvio Simani}, Paolo Castaldi}, biburl = {https://www.bibsonomy.org/bibtex/2d460c89cdfe0694cb667dd2952bb4e69/thesaiorg}, interhash = {060958214a5a0bcc192012083901784b}, intrahash = {d460c89cdfe0694cb667dd2952bb4e69}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {PI adaptive algorithms; and control control; controllers; estimation; fuzzy model. modelling recursive turbine wind}, number = 7, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark}}, url = {http://ijacsa.thesai.org/}, volume = 4, year = 2013 }