摘要
在旋转机械安装过程中,需要对组成轴系的各转子部件进行精确的对中调试。针对如何确定此类对中调试参数的问题,结合转子轴系的一般物理模型和调整工艺,建立了调整关系模型。在分析调整过程参数的基础上,基于遗传算法提出了一种适用的数值分析方法,使以往单独使用搜索寻优或遗传算法的某些局限性得以改善,解决了有约束多变量规划问题全域优化的求解问题,并提高了计算效率。在发电厂大型机组检修过程的试用表明:采用旋转机械转子部件对中调整方案的优化分析方法,可明显提高调整方案的合理性和有关参数计算的精度,进而有效地保证安装质量,同时减少转子部件调整的工作量,为机组的提前装复和投产提供技术保障。
This paper proposes an optimization method of alignment of multi-rotating parts in mechanical systems. An alignment model has been developed for determination of parameters in the alignment process. A new numerical method based on Genetic Algorithm (GA)is also presented. This method can be used for finding global optimum of constrained programming problems with multi-variables and can overcome the shortcomings of some existing methods. It has been convinced by a real test in a large-scale maintenance of generating units that the proposed method can improve the quality of installation and reduce the working load of aligning the rotating parts.
出处
《现代电力》
2005年第4期34-37,共4页
Modern Electric Power
关键词
发电机组
轴系对中
数值分析计算
遗传算法
调整方案优化
turbine generator set
rotors alignment
numerical analysis
genetic algorithm
optimum regulating scheme