A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy

Zhou，Yarong1; Bhowmick，Parijat2; Zhang，Lijun1; Chen，Li3; Nagamune，Ryozo4; Li，Ye1,5,6,7

2024

10.1016/j.oceaneng.2023.116054

Ocean Engineering   影响因子和分区

0029-8018

The utilization of floating offshore wind turbines is regarded as a promising solution for offshore renewables, wherein blade pitch control plays a crucial role in both operation and maintenance. Among the various blade pitch control methods, strategies that involve more states pertaining to the control objectives demonstrate superior tracking performance. However, these approaches necessitate additional linearization and parameter tuning efforts, particularly when addressing varying operating conditions in real-world unsteady environments. In this study, a decoupled model reference adaptive control framework with inner control laws for ideal responses for both collective and individual blade pitch is employed, in the context of floating offshore wind turbine control problems during operation beyond rated conditions. According to the simulations conducted on a benchmark wind turbine simulator under a series of turbulent wind speeds, the proposed integrated controller achieved reductions in power fluctuation and damage equivalent load in blades compared to corresponding baseline controllers, at the expense of acceptable deterioration in tower base loads and blade actuator activities. The proposed scheme demonstrates its adaptability in serving the entire operating range, mitigating the need for parameter tuning due to variations in wind speed, and exhibits potential to involve more control purposes.

Blade load mitigation Collective/individual blade pitch control Floating offshore wind turbines Model reference adaptive control Power generation

SCI ; EI

英语

通讯

ENGINEERING

2-s2.0-85179060946

Scopus

1.Multi-function Towing Tank Laboratory,State Key Laboratory of Ocean Engineering,School of Naval Architecture,Ocean & Civil Engineering,Shanghai Jiao Tong University,Shanghai,200240,China
2.Department of EEE,IIT Guwahati,Assam,781039,India
3.School of Naval Architecture,Ocean & Civil Engineering,Shanghai Jiao Tong University,Shanghai,200240,China
4.Department of Mechanical Engineering,University of British Columbia,Vancouver,V6T1Z4,Canada
5.Gansu Provincial Technology Centre for Wind Turbines,Lanzhou,730050,China
6.Department of Ocean Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
7.School of Engineering,University of Edinburgh,Edinburgh,EH8 9YL,United Kingdom

Zhou，Yarong,Bhowmick，Parijat,Zhang，Lijun,et al. A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy[J]. Ocean Engineering,2024,291.

Zhou，Yarong,Bhowmick，Parijat,Zhang，Lijun,Chen，Li,Nagamune，Ryozo,&Li，Ye.(2024).A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy.Ocean Engineering,291.

Zhou，Yarong,et al."A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy".Ocean Engineering 291(2024).