基于模糊层次分析法的集散控制系统时序优化  

Distributed control system time sequence optimization based on FAHP

作　　者：张晓扬[1] 史耀耀[1] 何晓东[1] 康超[1] 张军[1] 

机构地区：[1]西北工业大学现代设计与集成制造教育部重点实验室,陕西西安710072

出　　处：《计算机集成制造系统》2015年第9期2419-2426,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51375394)~~

摘　　要：为使主从式集散控制系统不同参数通讯的实时性与其权重相符合,提出一种基于模糊层次分析法的集散控制系统通讯时序优化方法。以缠绕机集散控制系统为例,制定了参数响应优先级权重的评判标准,利用模糊层次分析法对各参数进行优先级权重分析,并依据分析结果通过线性规划对各参数通讯比例进行优化,以代替现有的轮训通讯方式,降低加权平均响应时间。优化结果表明,在集散控制系统的通讯中相对重要参数的时序响应时间被缩短,而相对次要参数的响应时间被延长。各参数间权重值差异越大,优化后加权平均响应时间缩短的效果越显著,优化结果与参数时序调整倾向一致。To enable the communication real-time performance of various parameters in master-slave mode distributed control system be corresponded with their weights, the optimization method of distributed control system communi- cation time sequence based on Fuzzy Analytic Hierarchy Process（FAHP） was proposed. By taking winding machine distributed control system as a case study, an evaluation criterion for response priority weights of parameters was drew up, and the parameters priority weights were analyzed with FAHP. The communication proportion of various parameters in winding machine distributed control system was adjusted according to the analysis result to replace the polling mode, which achieved the aim of reducing weighting average response time. The result showed that the re- sponse time of relative important parameters could be shortened while the response time of relative minor ones could be lengthen. The result of shorten the weighting average response time after optimization was increased significantly with increasing difference of various parameters. The optimization result was consistent with the adjustment tenden- cy of parameter time series.

关 键 词：模糊层次分析法 集散控制系统 时序响应 优化 缠绕机 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]