基于遗传算法的风力机塔架最优化设计方法

Optimization design for wind turbine tower-truss based on the genetic algorithms

探讨了遗传算法在风力机塔架结构优化设计中的应用。通过对经典遗传算法进行改进,建立了存在约束条件的遗传算法优化设计模型;考虑结构受力特点,给出了塔架体系在屈曲性能约束条件下的最优化设计方法。另外,针对遗传算法容易收敛到局部最优点的缺陷,改变各变量相应初始界限值,进行两次遗传算法操作运算,使工作效率提高,且结果更为精确。最后,对某风力机塔架进行在简化荷载作用下的最优化设计,得到了较满意的结果。

This paper investigated the application of Genetic Algorithms （GA＇s） in the optimum design of wind turbine-truss. Through the improvement on classical GA＇s, the optimum design model of genetic algorithms with restriction condition was established. Considering the mechanical properties of the structure, the optimization design of tower-truss with inflection as restriction is presented. In addition, aimed at improving the GA＇s limitation of being prone to converge to the local optimum point, the limit value of each variable was changed respectively and the GA＇s calculation was performed two times so that the program could work more efficiently and the results are more precise. Finally, an optimization design is made for a wind turbine tower-truss under a predigested load, and satisfactory results are obtained.