基于遗传算法的风力发电行星传动系统多目标模糊优化  

Multi-objective Fuzzy Optimization for Planetary Transmission System of Wind Turbine Based on Genetic Algorithms

作　　者：李武[1] 聂松辉[1] 陈方述[1] 

机构地区：[1]湘潭大学机械工程学院,湘潭411105

出　　处：《机械科学与技术》2012年第11期1801-1805,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：湖南省教育厅优秀青年科研项目(08B081);湖南省科技厅研究项目(2011GK3203);博士科研启动项目(08QDZ42);教育部工程研究中心项目(09-FZGJ04)资助

摘　　要：行星传动系统的性能对风力发电机的效率及可靠性都有重要影响。对1.5 MW风力发电传动系统的结构进行了分析,以体积最小和重合度最大为目标函数,考虑传动系统的几何参数约束、性能约束、可靠性强度约束等约束条件,建立了风力发电行星传动系统的多目标优化数学模型。对优化模型进行模糊处理,使优化更接近工程实际应用。应用遗传算法对多目标模糊优化模型求解,避免了局部寻优,从而获得全局最优解。实例分析结果表明:在保证系统可靠性的同时,系统的体积、稳定性和承载能力都得到了明显改善。Features of planetary transmission system can significantly affect efficiency and reliability of wind turbin. Transmission system structure of 1.5MW wind turbin＇ was analysed and the mathematical model of multi-objective optimization for planetary transmission system of wind turbin was established. It took the minimal volume and the maximal contact ratio as object functions, and fully considered such constraint condition as geometric parameter constraint, performance constraint and reliability strength constraint. Optimization model was given fuzzy treatment to let optimization be more close to actual engineering application. Solution to model of multi-objective fuzzy optimi- zation by genetic algorithms avoids local optimization and gets global optimum result. The method has been applied and the result indicates that volume, stability and beating capacity of the system are observably improved and relia- bility is ensured.

关 键 词：风力发电 行星传动 多目标优化 模糊优化 遗传算法 

分 类 号：TH122[机械工程—机械设计及理论]