显著误差检测的改进SICC算法  

The Modified SICC Algorithm in Gross Error Detection

作　　者：周凌柯[1] 苏宏业[2] 褚健[2] 

机构地区：[1]南京理工大学自动化系,江苏南京210094 [2]浙江大学先进控制研究所,浙江杭州310027

出　　处：《信息与控制》2005年第3期291-295,共5页Information and Control

基　　金：国家杰出青年科学基金资助项目(60025308);国家"十五"科技攻关计划资助项目(2001BA204B07)

摘　　要：提出了一种改进的SICC(顺序识别显著误差并同步补偿)算法.改进后的算法利用时间冗余性,加入对过程测量变量的上下限约束,避免了显著误差的误判.并且通过对显著误差进行逐步的幅度补偿,再采用MT(测量残差检验)法找出候选显著误差集,避免了投影矩阵的计算.通过加入必要的回路检测,避免了幅度补偿后矩阵奇异性的产生.对蒸汽系统过程网络进行仿真研究,仿真结果表明了改进算法的有效性.A modified SICC (serial identification with colle ct ive compensation) method used in gross error detection and data reconciliation f or chemical process is introduced in this paper. By using temporal redundancy, u pper and lower bounds of process measurements are added in the modified SICC met hod to avoid the misidentification of gross errors. To prevent the computation o f project matrix, the measurements are compensated by using the estimated gross error magnitudes after each gross error is identified, and after that, MT (measu rement test) method is used to find the gross error candidates. To avoid the sin gularities from appearing after gross error compensation, necessary cycle detect ion is added. Simulation results on a steam metering system verify the effective ness of the modified algorithm.

关 键 词：数据校正 显著误差检测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]