The Optimization Design of Wind Turbine Gearbox Based on Improved Genetic Algorithm and Feasibility Analysis

Abstract:

The design of the gearbox must ensure the simplest structure and the lightest weight under the premise of meeting the reliability and life expectancy. According to the requirement of wind turbine, an improved method combined dynamic penalty function with pseudo-parallel genetic algorithm is used to optimize gearbox. It takes the minimum volumes as object functions. It is showed that the ability to search the global optimal solution of improved genetic algorithm and less number of iterations. The global optimal solution is worked out quickly. The size parameters are optimized, as much as the driving stability and efficiency. To verify the feasibility of improved genetic algorithm, ring gear of the gearbox is analyzed. Static strength analysis shows that the optimization method is reasonable and effective.

• Periodical: Advanced Materials Research (Volumes 889-890)
• Pages: 107-112
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.889-890.107
• Online since: February 2014
• Authors: Ji Ming Tian*, Xin Tan
• Keywords: Improved Genetic Algorithm (IGA), Optimization Design, Ring Gear, Wind Turbine Gearbox

References

[1] Furong Xu. Control system for the large-scale wind power plant and wind-driven generating sets. Electric Drive Automation, 2003, 25(6): 5-11.

[2] Donghao Zhang, Fenglin Wu, Shitong Zhang, etc. Application of improved genetic algorithm in reliability optimization design of NGW planetary gear transmission. Journal of machine design, 2013, 37(002): 44-46.

[3] Qi Wang, Wenpeng Zhang, Lei Shi. Improved genetic algorithms application in reducer optimazation design . Mechanical Research & Application, 2009, 22(2): 76-78.

[4] Zhengang Rao, Planetary gear transmission design. Beijing: Chemical Industry Press, 2003: 153-178.

[5] GB/T 3480-1997. Involute cylindrical gear bearing capacity calculation method.