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Researchers at University of the Basque Country Target Applied Mathematics (Real Time Observer and Control Scheme for a Wind Turbine System Based On a High Order Sliding Modes)

  • Oct 25, 2021
  • 39 views
Source: 
Math Daily News

2021 OCT 25 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- Investigators publish new report on Mathematics - Applied Mathematics. According to news reporting originating from Leioa, Spain, by NewsRx correspondents, research stated, “The introduction of advanced control algorithms may improve considerably the efficiency of wind turbine systems. This work proposes a high order sliding mode (HOSM) control scheme based on the super twisting algorithm for regulating the wind turbine speed in order to obtain the maximum power from the wind.”

Funders for this research include Basque Government, Diputacion Foral de Alava (DFA), UPV/EHU, Gipuzkoako Foru Aldundia.

Our news editors obtained a quote from the research from the University of the Basque Country, “A robust aerodynamic torque observer, also based on the super twisting algorithm, is included in the control scheme in order to avoid the use of wind speed sensors. The presented robust control scheme ensures good performance under system uncertainties avoiding the chattering problem, which may appear in traditional sliding mode control schemes. The stability analysis of the proposed HOSM observer is provided by means of the Lyapunov stability theory.”

According to the news editors, the research concluded: “Experimental results show that the proposed control scheme, based on HOSM controller and observer, provides good performance and that this scheme is robust with respect to system uncertainties and external disturbances.”

This research has been peer-reviewed.

For more information on this research see: Real Time Observer and Control Scheme for a Wind Turbine System Based On a High Order Sliding Modes. Journal of the Franklin Institute, 2021;358(11):5795-5819. Journal of the Franklin Institute can be contacted at: Pergamon-elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Journal of the Franklin Institute - http://www.journals.elsevier.com/journal-of-the-franklin-institute/)

The news editors report that additional information may be obtained by contacting Oscar Barambones, University of the Basque Country, UPV-EHU, Leioa, Spain. Additional authors for this research include Josea A. Cortajarena, Isidro Calvo, Josem. Gonzalez de Durana, Patxi Alkorta and Ali Karami-Mollaee.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.jfranklin.2021.05.022. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

 

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