Affiliation:
1. College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Abstract
During the actual wind power generation process, wind turbines are often affected by side effects such as blade vibrations, input constraints, and actuator faults. This can lead to a reduction in power generation efficiency and even result in unforeseen losses. This study discusses a robust adaptive fault-tolerant boundary control approach to address the issues of input-constrained and actuator-fault problems in wind turbine blade vibration control. By employing projection mapping techniques and hyperbolic tangent functions, a novel robust adaptive controller based on online dynamic updates is constructed to constrain vibrations, compensate for unknown disturbance upper bounds, and ensure the robustness of the coupled system. Additionally, considering the possibility of actuator faults during the control process, a fault-tolerant controller is proposed to effectively suppress elastic vibrations in the wind turbine blade system even in the presence of actuator faults. The effectiveness of the proposed controller is validated through numerical simulations.
Funder
Guangdong Provincial Graduate Education Innovation Plan Project
Guangdong Provincial Education Science Planning Project
Haizhu District Science and Technology Project
Guangdong Agricultural Product Big Data Operation and Application—Construction of Big Data Platform Project
natural Science Foundation of Guangdong Province
Innovation Team Project of Universities in Guangdong Province
Science and Technology Planning Project of Yunfu
Natural Science Foundation of Guangdong Province
Guangdong Provincial College students innovation and entrepreneurship training Plan project
National College students innovation and entrepreneurship training Plan project
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)