计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 557-560.doi: 10.11896/j.issn.1002-137X.2017.11A.118

• 综合、交叉与应用 • 上一篇    下一篇

基于MATLAB遗传算法的优化断路器温控工艺

李洪,徐丽丽,李劲   

  1. 昆明理工大学质量发展研究院 昆明650093,昆明理工大学质量发展研究院 昆明650093,昆明理工大学质量发展研究院 昆明650093
  • 出版日期:2018-12-01 发布日期:2018-12-01

Optimizing Circuit Breaker Temperature Control Technique Based on GA Toolbox of MATLAB

LI Hong, XU Li-li and LI Jin   

  • Online:2018-12-01 Published:2018-12-01

摘要: 在研究断路器温度变化的过程中,控制其温度变化是一项极为重要的工作。实验分析由于在温度变化过程中会受到各种影响因素的干扰,因此需要利用实验设计筛选出关键影响因子进行重点改进。在结合一次对断路器温变过程的全面调查所获得的实际数据的基础之上,首先 在实验次数相近时, 利用均匀设计与正交设计对均匀性更好、更具代表性的特点进行实验分析;然后通过响应面法(RSM)构建断路器温度变化的回归模型,并且利用带惩罚函数的遗传算法(GA)进行优化,找到一组能够获得最佳温控值的数据组合。

关键词: 优化设计,响应面法,惩罚函数,遗传算法

Abstract: The control of temperature change is a very important work in the process of studying circuit breaker temperature change.Because the test analysis of temperature change process are influenced by various factors,we need to use design of experiment method to screen out the key influence factors to improve.Based on the actual data obtained from a comprehensive survey of the circuit breaber temperature change process,this paper used uniformity and the more representative characteristics to perform an experiment when uniform design and orthogonal design when their number of experiment is similar.Then it applied response surface methodology to build a regression model about circuit breaker temperature change and used the genetic algorithm with penalty function to optimize,finding out a group of factors which get the best temperature control value.

Key words: Optimization design,Response surface methodology,Penalty function,Genetic algorithm

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