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Sliding mode variable pitch control of wind turbine via fuzzy neural network

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2 Author(s)
Liu Qingsong ; Jiaxing University, jiaxing 314001 ; Qian Suxiang

According to variable pitch wind characteristic and control requirements, and from the view of enhancing control system robustness, a fuzzy neural network sliding model control strategy is proposed for variable pitch control. Wind turbine model is established by fuzzy neural network and composed closed-loop control system, adaptive sliding mode controller based fuzzy neural network to reduce influence of wind varying. The results show that the proposed combined control tactics are easy to implement, and the combined control system of wind power system has good robustness and fast dynamic response, which verifies the accuracy and feasibility of the combined control tactics.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012