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Received:February 25, 2015 Revised:April 29, 2015
Received:February 25, 2015 Revised:April 29, 2015
中文摘要: 要保证磨煤机的最佳运行工况,就要使磨煤机的负荷,温度,入口负压稳定在最佳值附近,传统的模糊控制在磨煤机系统中虽运用广泛,但是完全基于专家经验的控制很难保证系统运行在最佳状态下,因此提出了采用遗传算法优化模糊控制隶属度函数的方法控制磨煤机的运行,解决了由于专家经验的不精确性带来的不足.
Abstract:To ensure the best operation condition of the storage bunker ball mill, we must make its load, temperature, and its inlet negative pressure be closed to the best value. The traditional fuzzy control of storage bunker ball mill is used widely now, but it is very difficult to guarantee the system run in the best condition if the control totally accord to the expert experience. Therefore this passage adopts the genetic algorithm to optimize membership function of the fuzzy control to control the operation of the system. This way can avoid the subjectivity of membership function depending on expert experience.
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
LIU Jun | College of Automation, Xi'an University of Technology, Xi'an 710048, China |
WEN Ting | College of Automation, Xi'an University of Technology, Xi'an 710048, China |
Author Name | Affiliation |
LIU Jun | College of Automation, Xi'an University of Technology, Xi'an 710048, China |
WEN Ting | College of Automation, Xi'an University of Technology, Xi'an 710048, China |
引用文本:
刘军,温婷.优化隶属度函数在中储式磨煤机中的应用.计算机系统应用,2015,24(11):14-21
LIU Jun,WEN Ting.Application of Optimize Membership Function in Intermediate Storage Bunker Ball Mill.COMPUTER SYSTEMS APPLICATIONS,2015,24(11):14-21
刘军,温婷.优化隶属度函数在中储式磨煤机中的应用.计算机系统应用,2015,24(11):14-21
LIU Jun,WEN Ting.Application of Optimize Membership Function in Intermediate Storage Bunker Ball Mill.COMPUTER SYSTEMS APPLICATIONS,2015,24(11):14-21