一种新型超细粉碎机生产过程实时模糊学习控制  

Real-time Fuzzy Learning Ckxitrol for Ultra-fine Grinding Mill Operating Process

作　　者：唐耀庚[1] 

机构地区：[1]南华大学电气工程学院,湖南衡阳421001

出　　处：《电气自动化》2001年第6期14-15,9,共3页Electrical Automation

摘　　要：粉碎机生产过程中,由于被粉碎物料的粒径差别很大,粒径分布极不均匀,以及物料自身的性质形态差别,造成生产工况变化很大。为了保证产品质量,提高产量,就要维持负荷稳定,但是常规的PID控制方法难以处理由于工作状态改变引起的负荷特性非线性。因此,本文中采用了一种具有实时学习能力的模糊控制策略,以改善系统的性能和适应性。该控制方法用于一种新型超细粉碎机生产过程控制,实验情况表明控制系统的稳态精度和动态性能都得到了改善。During the production process of grinding mill, the operating condition has enormous variation resulting from the great difference of graind diameter and the intrinsic property of meterial. For good quality and high productivity,it is necessary to make the load state stable. But it is difficult to deal with, the nonlinearity of load dynamic charaeteristic due to the variation of operating condition. Hence a fuzzy control strategy with real-time learning ability is adopted to improve the system performances and adaptability. This control approach has been applied to load regulation of an ultra-fine grinding mill. Practical results show that both the stable accuracy and the dynamic performances are improved.

关 键 词：超细粉碎机 生产过程 实时学习 模糊控制 

分 类 号：TQ051.91[化学工程] TP273.4[自动化与计算机技术—检测技术与自动化装置]