Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
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Article Number | 03010 | |
Number of page(s) | 6 | |
Section | Control Technology and Robotics Technology | |
DOI | https://doi.org/10.1051/itmconf/20224703010 | |
Published online | 23 June 2022 |
A novel SC-PI with ANFIS compensation for wind turbine pitch control
1 College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, 410004, China
2 SPIC Jiangxi Electric Power Co., LTD
3 State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Ditrubution Equipment, Human Disaster Prevention Technology Co., Ltd
* Corresponding author: honghuang_21@163.com
As a common control method for blades, variable pitch technology is used to regulate the output power of the turbine in region 3. To cope with the random variation of wind speed, a novel pitch angle controller is designed in this paper. The proposed method applies a selfcoupled PI (SC-PI) to obtain the desired speed tracking performance, and employs an adaptive neuro-fuzzy inference system (ANFIS) to compensate the controller for disturbance damping capability. A contrast experiment with a baseline PI is conducted in Matlab/Simulink. The performance superiority of the proposed hybrid control method is thus confirmed.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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