Earticle

초록

영어

In the process of full-scale static loading test of wind turbine blades, the loading forces all had relatively strong coupling effect, which seriously affected the accuracy of the test result. In order to eliminate this effect, firstly, a vertical static loading device for 10MW wind turbine blades was established and the coupling rule of loading force was obtained. Then, a control algorithm was put forward based on fuzzy theory. This algorithm took the error of loading force, error’s change rate as the input variables and the opening degree of proportional valve as the output variable. A control strategy based on this algorithm was constructed. In the end, the static device took the max flapwise of aeroblade5.0-62 wind turbine blade as example to conduct loading test. The result suggested the algorithm in this paper could ensure that the loading forces on five nodes always kept uniform changing and the control errors were respectively less than±2KN, ±2KN,± 2KN,± 2KN and±1KN. When in the 100% phase, the loading force could be finely maintained at the set value. The statistical results showed that the error rates of loading force with control algorithm were smaller than those without control algorithm. The test results verified the feasibility of control strategy applying to full-scale static loading test for wind turbine blades.

목차

Abstract
 1. Introduction
 2. Vertical Full-scale Static Loading System of Wind Turbine Blades
 3. Loading Control Algorithm based on Fuzzy Theory
  3.1. Coupling Rules of Loading Force
  3.2. Coordination Control Algorithm of Loading Force
 4. Test Process
 5. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Zhang Leian [ School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, China, School of Mechanical and Electrical Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China, Lianyungang Zhongfu Lianzhong Composite Group Co., Ltd, Lianyungang, 222000, China ]
• Huang Xuemei [ School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, China, ]
• Yuan Guangming [ School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, China, ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605