Tools
Tools
Zhou, Z, Wang, S, Jiang, J, Li, H, Zhao, J and Yu, D (2025) Optimizing wind turbine blade pitch control via input output differential model free adaptive control. Scientific Reports, 15 (1). pp. 1-11. ISSN 2045-2322
|
Text
Optimizing wind turbine blade pitch control via input output differential model free adaptive control..pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
In the context of wind energy systems, maintaining optimal power output in wind turbines when wind speeds exceed rated values necessitates precise regulation of blade pitch through the pitch control system. However, challenges in accurately modeling nonlinear control systems and enhancing control responsiveness arise due to factors such as actuator constraints, unmodeled dynamics, and random wind speed fluctuations. This paper proposes an improved model free control, termed Input Output Model Free Adaptive Control (IO-MFAC). It enhances the system's adaptability to stochastic wind and improves tracking capabilities by adaptively adjusting the input difference based on the output difference through the new cost function. Moreover, to demonstrate the stability of IO-MFAC, its monotonic convergence is theoretically confirmed. Simulations conducted on the FAST simulator and hardware-in-the-loop experiments demonstrate that IO-MFAC outperforms basic MFAC under constant wind and turbulent conditions, exhibiting superior dynamic tracking performance, control effectiveness, and practical utility.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 4007 Control Engineering, Mechatronics and Robotics; 40 Engineering; 7 Affordable and Clean Energy |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | Nature Publishing Group |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 28 Feb 2025 16:12 |
| Last Modified: | 28 Feb 2025 16:15 |
| DOI or ID number: | 10.1038/s41598-025-88711-z |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25754 |
 |
View Item |