摘要
在应用标准卡尔曼滤波法处理斜拉桥施工控制误差时,如果施工动态噪声(如施工误差等)的方差、协方差估计误差较大时容易使结果产生发散现象,导致状态估计的不可信。针对这种现象,采用了自适应卡尔曼滤波法。该方法可以在对观测数据进行滤波的同时,实时地对未知的或不确切的系统模型参数和噪声的统计特性进行适当的估计和修正,以补偿滤波中对动态噪声方差或协方差估计的不足,以减弱模型误差的影响,使滤波结果更接近于实际。通过仙桃汉江公路大桥主桥的应用证明该方法是可行的。
When we use the Kalman’s filtering method to deal with construction c ontrol errors of cable-stayed bridges, if estimated errors of variances and cova riances of construction dynamic noises(such as construction errors) are greater, the result is likely to be divergent and the state estimation may be n o t dependable. In order to solve the problem, this paper uses the adaptive Kalman ’s filtering method to control the errors. The method can not only filter measu rement data, but also estimate and modify unknown or unsure system model paramet ers and statistical characteristic of noises at the same time. Thus it can compe nsate the insufficiency in estimating variances or covariances of construction d ynamic noises and make the filtering result approach the fact. The method is tes tified to be feasible after it is used in Xiantao Hanjiang highway bridge.
出处
《人民长江》
北大核心
2005年第8期50-51,59,共3页
Yangtze River
基金
湖北省教育厅科学研究基金资助项目(B200511009)
关键词
自适应卡尔曼滤波法
施工控制
工程算例分析
斜拉桥
construction control
the adaptive Kalman’s filtering method
cable-s tayed bridge
