退火炉炉温的模糊自寻优控制器设计  

Design of Fuzzy Self-Optimization Controller for Annealing Furnace Burning Temperature

作　　者：王晓燕[1] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《工业炉》2008年第4期16-18,共3页Industrial Furnace

基　　金：教育部科学技术研究重点资助项目(206077);江西省教育厅资助项目(2006191)

摘　　要：为退火炉燃烧过程的炉温控制设计了模糊自寻优控制器,自动搜索最佳油/风比,取得了较好的控制效果,且对不可控因素的干扰具有较好的自适应能力。在保温阶段,比手动控制可节能12%左右,经济效益可观。A fuzzy self-optimization controller for annealing furnace temperature is designed. It is based on self-optimization and it can search the most suitable rate of oil and air automatically. The control process is effective. This controller is adaptive to noise factors. During insulation stage, compared with manual control process, 12% energy is saved. This brings greater economic benefits.

关 键 词：退火炉 模糊自寻优 自适应 

分 类 号：TG155.1[金属学及工艺—热处理] TP273.4[金属学及工艺—金属学]