摘要
基于参数递推辨识与信号滤波同时并行处理 ,建立通用板形检测信号除噪方法 ,编制RPEM -KF自适应滤波算法程序。仿真结果表明该法除噪效果明显 ,滤波前后信号的标准差比值 Ve/Vn =4 63 % ,最大误差比值Me/Mn =4 13 %。
Based on parallel implement of parameter recursive recognition and signals filtering, a general method is established to remove the harmful noise from the flatness detection signals, and a RPEM KF adaptive filtering program is developed The simulation result shows that the noise can be effectively removed by using this method, the ratio of standard errors of pre and post filtering signals V e/ V n=4 63% and the ratio of maximum errors M e/ M n=4 13% It is applicable in real time controlling
出处
《有色金属》
CSCD
2002年第4期30-32,37,共4页
Nonferrous Metals
基金
国家重点基础研究规划项目资助 (G19990 64 90 6)
国家计委重大项目(计高技[1998] 1985 )
关键词
铝带坯
铸轧
板形检测
自适应滤波
板形控制
roll casting
flatness detection
adaptive filtering
flatness control
