检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]山东工业大学自动化系
出 处:《控制理论与应用》1996年第2期212-222,共11页Control Theory & Applications
摘 要:本文针对水泥生料磨机系统的成分控制问题,提出了一种新型参数估计算法和自适应控制系统.新算法利用被控过程的先验知识避免了由于输入信号不“持续激励”而引起的估计错误.在新控制系统中,增设了基于新算法的成分估计器并采用了改进最小方差自校正控制器.仿真实验和实际应用结果都已证实:估计算法和控制方案是成功的.与普通最小二乘法相比,新算法具有更好的收敛性和更高的精度.控制方案已在工业控制机上实现,并用于水泥厂实时控制,运行结果是令人鼓舞的.This paper Proposes a novel estimation algorithm and adaptive control system for composition control at a raw mill in cement manufactory. Using a little 'a priori' knowledge about the controlled process,the novel algorithm avoids wrong estimates arising from the fact that the system inputs are not persistently exciting. In the new adaptive control scheme. the additional composition estimator based on our proposed algorithm and the modified minimum variance self--tuning controller are employed.Both simulation experiments and practical operation show the new adaptive control scheme and estimation algorithm is successful. Compared with the classieal least--squares algorithm. the new algorithm has a good convergence and high accuracy. The new adaptive control scheme has been implemented in an industry computer,and have used for real--time operation in a cement manufactory. The practical operation results have been very encouraging.
关 键 词:水泥 生料 磨机 化学成分 自适应控制 参数估计
分 类 号:TQ172.632[化学工程—水泥工业] TP273[化学工程—硅酸盐工业]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.31