Active Single-Blade Installation Using Tugger Line Tension Control and Optimal Control Allocation

被引:2
作者
Ren, Zhengru [1 ]
Skjetne, Roger [1 ]
Jiang, Zhiyu [2 ]
Gao, Zhen [1 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Ctr Res Based Innovat Marine Operat SFI MOVE, Dept Marine Technol, Trondheim, Norway
[2] Univ Agder, Dept Engn Sci, Grimstad, Norway
关键词
Single-blade installation; PID controller; wind turbine installation; control allocation; offshore wind turbine; marine operation; crane; coupled simulation; WIND; SHIP;
D O I
10.17736/ijope.2020.jc759
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The single-blade installation is a common method for the installation of wind turbine blades. In an offshore installation, a jackup vessel is often involved, and a crane is used to lift, move, and bolt each blade onto the rotor hub at the tower top. To reduce the blade pendular motions, tugger lines are connected to the suspended blade. Active control of the tension force on the tugger lines has been recently investigated to reduce the blade motion. In this situation, a pre-tension is needed during the mating process, as only positive tension can be provided by the tugger lines. To further improve the effectiveness of active force control, we propose an active control strategy with a three-tugger-line configuration in this work. The placement of the third tugger line is examined. The proportional-integral-derivative (PID) control strategy is adopted, and allocation is achieved by convex programming. Aeroelastic simulations are carried out to verify the active control scheme under turbulent wind conditions. The results show that the proposed active control scheme is an effective means of reducing the translational motion of the blade root relative to the hub in the mean wind direction.
引用
收藏
页码:220 / 227
页数:8
相关论文
共 29 条
[1]  
[Anonymous], 2005, International standard IEC 61400-1, Wind turbines Part 1: Design requirements
[2]  
[Anonymous], HALFW TURB INST NORD
[3]  
Astrom K J., 1995, PID Controllers: Theory, Design, and Tuning, V2
[4]   Experimental validation of soil-structure interaction of offshore wind turbines [J].
Bhattacharya, S. ;
Adhikari, S. .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2011, 31 (5-6) :805-816
[5]  
Cheng X., 2019, IEEE J OCEANIC ENG, P1
[6]   Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations [J].
Cheng, Xu ;
Li, Guoyuan ;
Skulstad, Robert ;
Major, Pierre ;
Chen, Shengyong ;
Hildre, Hans Petter ;
Zhang, Houxiang .
OCEAN ENGINEERING, 2019, 179 :261-272
[7]   An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network [J].
Deng, Wu ;
Liu, Hailong ;
Xu, Junjie ;
Zhao, Huimin ;
Song, Yingjie .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (10) :7319-7327
[8]   An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem [J].
Deng, Wu ;
Xu, Junjie ;
Zhao, Huimin .
IEEE ACCESS, 2019, 7 :20281-20292
[9]  
DNV, 2000, ENV COND ENV LOADS
[10]  
Egeland O., 2002, Modeling and Simulation for Automatic Control