Multi-objective Fuzzy Optimization for Planetary Transmission System of Wind Turbine Based on Genetic Algorithms
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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。Abstract: 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 optimization by genetic algorithms avoids local optimization and gets global optimum result.The method has been applied and the result indicates that volume,stability and bearing capacity of the system are observably improved and reliability is ensured.
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