References

Abad, G., J. Lopez, M. Rodriguez, L. Marroyo and G. Iwanski, 2011. Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation. Vol. 85, John Wiley & Sons, New York, USA.,.

Alhazmi, M.M., 2015. Modeling of doubly-fed induction generator using matlab/simulink. Ph.D. Thesis, California State University, Los Angeles, California.

Beale, M.H., M.T. Hagan and H.B. Demuth, 2011. Neural network toolbox user’s guide. The MathWorks Inc., Natick, Massachusetts.

BoroumandJazi, G., R. Saidur, B. Rismanchi and S. Mekhilef, 2012. A review on the relation between the energy and exergy efficiency analysis and the technical characteristic of the renewable energy systems. Renewable Sustainable Energy Rev., 16: 3131-3135.
CrossRef  |  Direct Link  |  

Burns, R.S., 2001. Advance Control Engineering. Butterworth-Heinemann, Oxford, UK., Pages: 433.

Civelek, Z., E. Cam, M. Luy and H. Mamur, 2016. Proportional-integral-derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm. IET. Renewable Power Gener., 10: 1220-1228.
CrossRef  |  Direct Link  |  

Costa, P.J., A.S. Carvalho and A.J. Martins, 2010. Fuzzy Logic as a Method to Optimize Wind Systems Interconnected with the Grid. In: Wind Power Systems, Wang, L., C. Singh and A. Kusiak (Eds.). Springer, Berlin, Germany, pp: 383-405.

Fortmann, J., 2014. Modeling of Wind Turbines with Doubly Fed Generator System. Springer, Wiesbaden, Germany,.

Math Works, 2014. Fuzzy logic toolbox user’s guide. Technical Report, The MathWorks Inc., Natick, Massachusetts.

Narendra, K.S. and S. Mukhopadhyay, 1997. Adaptive control using neural network and approximation model. IEEE Trans. Neural Networks, 8: 475-485.
CrossRef  |  Direct Link  |  

Novak, P., T. Ekelund, I. Jovik and B. Schmidtbauer, 2002. Modeling and control of variable-speed wind-turbine drive-system dynamics. IEEE. Control Syst. Mag., 15: 28-38.
CrossRef  |  Direct Link  |  

Qi, Y. and Q. Meng, 2012. The application of fuzzy PID control in pitch wind turbine. Energy Procedia, 16: 1635-1641.
CrossRef  |  Direct Link  |  

Sanchez, E.N. and R. Ruiz-Cruz, 2016. Doubly Fed Induction Generators: Control for Wind Energy. CRC Press, CRC Press, New York, USA., Pages: 148.

Sarkar, M.R., S. Julai, C.W. Tong, O.Z. Chao and M. Rahman, 2015. Mathematical modelling and simulation of induction generator based wind turbine in MATLAB/SIMULINK. ARPN. J. Eng. Applied Sci., 10: 17276-17280.
Direct Link  |  

Silpa, B., 2017. Pitch control of wind turbine through PID, fuzzy and adaptive fuzzy-PID controllers. M.S. Thesis, Rochester Institute of Technology, Rochester, New York, USA.

Suganthi, L., S. Iniyan and A.A. Samuel, 2015. Applications of fuzzy logic in renewable energy systems-a review. Renewable Sustainable Energy Rev., 48: 585-607.
CrossRef  |  Direct Link  |  

Yaramasu, V. and B. Wu, 2017. Model Predictive Control of Wind Energy Conversion Systems. Wiley and Sons, Hoboken, New Jersey, USA., Pages: 471.

Yin, X.X., Y.G. Lin, W. Li, Y.J. Gu, X.J. Wang and P.F. Lei, 2015. Design, modeling and implementation of a novel pitch angle control system for wind turbine. Renewable Energy, 81: 599-608.
CrossRef  |  Direct Link  |