The Design Method of Airfoils for Variable-Pitch Wind Turbines Based on Knowledge Engineering

Article Preview

Abstract:

In order to make good use of the previous design knowledge, the knowledge-based engineering ideas were introduced to the design of airfoils for variable-pitch wind turbines, a new design method for airfoil of wind turbine was formed. Firstly, the structure-behavior-function (SBF) model of airfoils design was derived. Secondly, the neural rules for airfoils design of variable-pitch wind turbines were deduced. Thirdly, the design method of airfoils structure for wind turbines based on case-based-reasoning (CBR) was establishment. And the dimensionless model based on case representation was set up, and the algorithm of geometric parameters design for airfoils based on CBR was proposed at last.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

1342-1347

Citation:

Online since:

September 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Song Xiancheng, Chen Jiang, Du Gang et al. Parametric Representation Method for Wind Turbine Airfoils. Journal of Nanjing University of Aeronautics &Astronautics, 2012, 44(3): 301-306.

Google Scholar

[2] Wu Jianghai, Wang Tongguang. Optimization Design of Airfoils for Variable-Pitch Wind Turbines Based on Genetic Algorithms. Journal of Nanjing University of Aeronautics &Astronautics, 2011, 43(5): 617-622.

Google Scholar

[3] CHEN Jin, WANG Quan, LI Songlin et al. Airfoil design using improved particle swarm optimization. Journal of Chongqing University, 2012, 35(11): 40-46.

Google Scholar

[4] Ioannis H G, Jim P. Integrating (rules, neural networks) and cases for knowledge representation and reasoning in expert systems. Expert Systems with Applications, 2004: 63-75.

DOI: 10.1016/j.eswa.2003.12.004

Google Scholar

[5] YANG Guangwen, SHI Shuming. Parallel clustering algorithm by deterministic annealing. Journal of Tsinghua University (Science and Technology), 2003, 43(4): 480-483.

Google Scholar

[6] YE Bin; GUO Chuang-Xin; CAO Yi-Jia. Fuzzy Modeling Strategy Based on Evolutionary Programming and Least Squares Estimate. Pattern Recognition and Artificial Intelligence, 2005, 18(5): 558-563.

Google Scholar

[7] Ding Li, Lu Zhiliang, Guo Tongqing. Optimal Design of Wind Turbine Airfoils Aimed for Aerodynamic Performance of Wind Wheel. Journal of Nanjing University of Aeronautics &Astronautics, 2011, 43(5): 667-671.

Google Scholar

[8] Slonim T Y, Schneider M. Design issues in fuzzy case based reasoning. Fuzzy Sets and Systems, 2001, 117: 251-267.

DOI: 10.1016/s0165-0114(99)00055-x

Google Scholar

[9] ZI Shu-yu, WEI Ru-xian, JIANG Tie-jun et al. Improved ship maintenance cost case adaptation model. Systems Engineering and Electronics, 2012, 34(3): 539-543.

Google Scholar