Title :
Integral variable structure fuzzy adaptive control for variable speed wind power system
Author :
Yang, Xiyun ; Liu, Xinran
Author_Institution :
Control Sci. & Eng., North China Electr. Power Univ., Beijing, China
Abstract :
In order to maximize capture wind power, wind turbine generator needs to tune wind turbine speed according wind. It is difficult to obtain the better dynamic quality and robustness by conventional controller based on mathematic model due to uncertainty of wind speed and wind direction. An integral variable structure fuzzy adaptive controller is proposed for variable speed wind power system with uncertain model parameters and force disturbances. The control scheme is based on variable structure controller with integral compensation. The uncertainties are approximated based on fuzzy theory. Furthermore, fuzzy adaptive method is applied to regulate the gain of switch control variable in order to eliminate the chattering phenomenon that is inherent to variable structure system. The stability of the proposed controller is proved using Lyapunov method. Simulation results indicate that the strong robustness and better tracking performance can be achieved.
Keywords :
Lyapunov methods; adaptive control; fuzzy control; fuzzy set theory; power systems; stability; turbogenerators; variable structure systems; wind power; Lyapunov method; capture wind power maximization; chattering phenomenon; control scheme; conventional controller; fuzzy theory; gain regulate; integral compensation; integral variable structure fuzzy adaptive control; mathematic model; robustness; uncertainty; variable speed wind power system; wind turbine generator; wind turbine speed; Adaptive control; Fuzzy control; Fuzzy systems; Power system modeling; Programmable control; Switches; Uncertainty; Wind energy; Wind speed; Wind turbines; Fuzzy; Sliding Mode Control; Variable Structure; Wind Power;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461161