Open AccessVariable Pitch Control of Wind Turbine Based on Fuzzy Feedforward and Feedback Linearization Sliding Mode
Author(s) -
Haixiang Sun,
Xiaolin Zhang,
Yingbo Wang,
Shanyao Li,
Changle Sun,
Tingrui Liu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2173/1/012046
Subject(s) - control theory (sociology) , feed forward , feedback linearization , turbine , wind power , sliding mode control , variable speed wind turbine , controller (irrigation) , robustness (evolution) , fuzzy control system , linearization , nonlinear system , computer science , wind speed , variable structure control , pitch control , fuzzy logic , engineering , control engineering , control (management) , permanent magnet synchronous generator , voltage , physics , artificial intelligence , chemistry , biology , biochemistry , quantum mechanics , agronomy , mechanical engineering , meteorology , electrical engineering , gene
When the wind turbine operates above the rated wind speed, the pitch angle is usually adjusted to make the output power stable at the rated value. As the traditional linear controller is difficult to achieve better control effect for the large inertia and strong nonlinear wind power generation system, a variable pitch control method combining fuzzy feedforward and feedback linearization sliding mode is proposed in this study. Firstly, the nonlinear wind power model is globally linearized by input/output feedback linearization, and then the feedback controller is designed by combining with sliding mode control. The fuzzy feedforward controller can give the appropriate pitch angle according to the change of wind speed and realize dynamic feedforward compensation. The simulation results show that the proposed control method can make the output power of the wind turbine stable, and has better control accuracy and robustness.