基于云模型定性推理的液压弯辊板形控制  

Hydraulic Roll-bending Flatness Control Based on Qualitative Reasoning of Cloud Model

作　　者：贾春玉[1] 白涛[2] 崔发军[1] 徐胜杰[1] 

机构地区：[1]燕山大学,秦皇岛066004 [2]承德石油高等专科学校,承德067000

出　　处：《中国机械工程》2014年第10期1295-1298,共4页China Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划)资助项目(2009AA04Z143);河北省自然科学基金资助项目(E2006001038);河北省科技计划资助项目(10212101D)

摘　　要：云模型将概率论的随机性和模糊集合论的模糊性相融合,能很好地解决不确定性问题,基于此设计了一种二维液压弯辊云模型控制器,其控制策略不需要被控对象的数学模型,只需通过语言原子和云模型将人用语言定性表达的经验和逻辑判断转换到语言控制规则器中,就能实现板形实时在线控制。以某公司1220mm液压弯辊板形控制系统为仿真对象进行仿真实验,结果表明,该控制器简易、快速、控制性能良好、鲁棒性强,较常规模糊控制具有更好的控制品质。A cloud model combined the randomness of probability theory and fuzziness of fuzzy set theory,so the uncertain problems can be disposed better.This paper designed a two-dimensional cloud model controller of the hydraulic bending roll system,its control strategy needed no mathematical models of plant,the experience and logic decision qualitative expressed by linguistic value are trans-formed into the linguistic control rulers through linguistic atoms and cloud models,which can achieve flatness online control in real time.A hydraulic bending system of a company 1220 rolling mill was taken as the simulation obj ect.Simulation results show that the cloud controller is simple and rapid, has good control performance,strong robustness,and a better control quality than that of the normal fuzzy controller.

关 键 词：液压弯辊系统 云模型 定性推理 板形控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]