شماره ركورد كنفرانس :
3788
عنوان مقاله :
DFIG wind turbine control despite the uncertainties in the model using high-order adaptive sliding
عنوان به زبان ديگر :
DFIG wind turbine control despite the uncertainties in the model using high-order adaptive sliding
پديدآورندگان :
Moghtader Arbatsofla Sariyeh Nmoghtade@yahoo.com Department of Electrical Engineering – Control Islamic Azad University Science and Research Branch Tehran, Iran , Toloei Alireza toloei@sbu.ac.ir Department of Aerospace Engineering Shahid Beheshti University, GC Tehran, Iran , Soudagary Fatemeh f.soudagary@aut.ac.ir Department of Computer Science Amirkabir University of Technology Tehran, Iran , Naseri Aref arefnasseri@aut.ac.ir Department of Electrical Engineering Amirkabir University of Technology Tehran, Iran
كليدواژه :
Wind Turbine , Nonlinear Systems , Multivariate Systems , Terminal Sliding Mode Controller , Adaptive sliding mode Contro
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
In this paper, a nonlinear multivariate model for
wind turbines is considered. Due to the increasing need for
energy and limitation in fossil fuels, wind speed turbines vary
widely, despite their high costs in power plants, so it is essential
to achieve maximum efficiency and maintain their sustainability.
For this purpose, a variable speed winding turbine system is
modeled with a dual power generator modeled in this uncertain
system, such as variations in wind speed and uncertainty in
modeling and parameter values.
In order to improve the behavior of system outputs in the
unstructured presence of uncertainties, a controller is designed
using a sliding mode of the terminal to reduce the system shifting
by combining the adaptive modeling theory to deal with the
indeterminate parameters and control signal smoothing. In this
method, the combination of interest is designed adaptively, and is
independent of the boundary of the indefinite and independent
determinants. Finally, simulation of the results has been done
using MATLAB software. The simulation results show the
proper performance of the proposed controller in an uncertain
presence compared to other methods.
چكيده لاتين :
In this paper, a nonlinear multivariate model for
wind turbines is considered. Due to the increasing need for
energy and limitation in fossil fuels, wind speed turbines vary
widely, despite their high costs in power plants, so it is essential
to achieve maximum efficiency and maintain their sustainability.
For this purpose, a variable speed winding turbine system is
modeled with a dual power generator modeled in this uncertain
system, such as variations in wind speed and uncertainty in
modeling and parameter values.
In order to improve the behavior of system outputs in the
unstructured presence of uncertainties, a controller is designed
using a sliding mode of the terminal to reduce the system shifting
by combining the adaptive modeling theory to deal with the
indeterminate parameters and control signal smoothing. In this
method, the combination of interest is designed adaptively, and is
independent of the boundary of the indefinite and independent
determinants. Finally, simulation of the results has been done
using MATLAB software. The simulation results show the
proper performance of the proposed controller in an uncertain
presence compared to other methods.
