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dc.contributor.authorHabibi, H.
dc.contributor.authorNohooji, H.
dc.contributor.authorHoward, Ian
dc.date.accessioned2018-06-29T12:26:15Z
dc.date.available2018-06-29T12:26:15Z
dc.date.created2018-06-29T12:08:48Z
dc.date.issued2018
dc.identifier.citationHabibi, H. and Nohooji, H. and Howard, I. 2018. Constrained control of wind turbines for power regulation in full load operation, 2017 11th Asian Control Conference (ASCC 2017), pp. 2813-2818: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68564
dc.identifier.doi10.1109/ASCC.2017.8287623
dc.description.abstract

© 2017 IEEE. The safe operation of wind turbines is a vital criterion which should be considered in the controller design to avoid rotor over speeding and hazardous operation. In this regard, the main focus of this paper is to keep the wind turbine operating within given limits by considering constrained control concepts using the barrier Lyapunov function. The nonlinear model of a benchmark wind turbine is considered and the wind speed variation is assumed to be unmeasurable disturbance and consequently, utilising the radial basis function neural network, an aerodynamic torque estimator is designed. The proposed controller is evaluated via numerical simulations and its performance is compared to a practical industrial wind turbine controller and a quadratic Lyapunov-based controller.

dc.publisherIEEE
dc.titleConstrained control of wind turbines for power regulation in full load operation
dc.typeConference Paper
dcterms.source.volume2018-January
dcterms.source.startPage2813
dcterms.source.endPage2818
dcterms.source.title2017 Asian Control Conference, ASCC 2017
dcterms.source.series2017 Asian Control Conference, ASCC 2017
dcterms.source.isbn9781509015733
dcterms.source.conference2017 11th Asian Control Conference (ASCC 2017)
dcterms.source.placeUSA
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available
curtin.contributor.orcidHoward, Ian [0000-0003-3999-9184]


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