Implementation of adaptive fuzzy controller on the variable speed wind turbines in comparison with conventional methods

Somayeh ABDOLZADEH, Seyed Mohammad Ali MOHAMMADI
1.577 488


Abstract- This paper introduces a linear structure of wind turbine, operator and the pitch angle controller. Then, a new method of adaptive fuzzy on the variable speed wind turbines was provided and it was compared with  PID and Fuzzy Logic Controller and the simulation results were analyzed. So when the results of each simulation using PID and Fuzzy controllers and adaptive fuzzy PID controllers provided, the observed advantages and disadvantages of the rotor speed and wind turbine power can be introduced. It can be seen that in PID method the high overshoot is discussed as a disadvantage while it is overcome by using fuzzy controller and overshoot will decrease. The time of reaching to a sustained speed increases slightly and in adaptive fuzzy PID controller, the less overshoot has provided a good and effective performance for system response. The use of adaptive fuzzy PID controller causes the system does not have any steady-state error and at all moments of time, the response rate is better than PID and fuzzy controller. The importance of the amount of  overshoot and rate fluctuations is that by reducing these parameters in addition to reducing the cost of preventive care, maintenance and depreciation, the fluctuations in electricity generated by induction generator also greatly reduced.


variable speed wind turbine, the blade control, fuzzy controller, the controller PID

Full Text:



H. H. El-Tamaly, A. A. E. Mohammed. “Modeling and simulation of photovoltaic/wind hybrid electric power system interconnected with electrical utility”, IEEE Conf., 12th International MEPCON, PP. 645-649, 2008.

The World Wind Energy Association. “Half-year report 2011”, WWEA Trans., Germany, PP. 1-7 ,2011.

V. Lesic, M. Vasak, N. Peric, T. Wolbank, G. Joksimovic. .“Fault tolerant control of a blade pitch wind turbine with inverter fed generator”, IEEE Conf., International Symposium on Industrial Electronics(ISIE), Vol. 1, No. 1, , PP. 2097-2102 , Aug- 2011.

James Blyth Oxford Dictionary of National Biography,Oxford UniversityPress,- etrieved10_09,2009

Swedish Energy Agency, Climate report, Swedish Energy Agency, Tech .Rep, 2002.

J. G. Slootweg, S. W. H. D. Haan, H. Polinder, W. L. Kling, . “General model for representing variable speed wind turbines in power system dynamics simulations”, IEEE Trans., Power Systems, Vol. 18, No. 1,PP. 144-151, 2003.

G. L. Johnson. “Wind energy systems”, Book, Manhattan, KS, 2006.

F. A. Abbas, M. A. Abdulsada, F. R. Abusief. “Speed control of wind turbine by using PID controller”, Eng. & Tech. Journal, Vol. 29, No. 1, , PP. 65-71, 2011.

M. Hand, “Variable speed wind turbine controller systematic design methodology- a comparison of non linear and linear model based designs”, NREL Report No. TP- 500-25540, National Renewable Energy Laboratory, July1999.

M. Namazov, O. Basturk. “DC Motor Position Control Using Fuzzy Proportional- rivative Controllers with Different defuzzification Methods”, Turkish Journal of Fuzzy Systems (TJFS) Trans., Vol.1, No.1, PP.36-54, May-2010.

M. F. Rahmat, M. M. Ghazaly.. “Performance Comparison between PID and Fuzzy Logic Controller in Position Control System of DC Servomotor”, Journal Technology of Malaysia Technology University, Vol.1, No.1, PP.1-17, 2006.