改进的Sage-Husa算法及其在工业在线检测中的应用

针对工业在线检测环境复杂多变的特点,在现有方法的基础上,提出了一种改进的Sage-Husa自适应滤波算法。该算法在获得新的观测值后,先通过滤波发散判据判断滤波器状态是否正常,若异常,进一步采用一种一步延时方法判别新的观测值是否为野值,依据判别结果分别采取不同的对策,从而提高Sage-Husa算法在工业检测中的性能。将新算法应用于模拟工业环境的激光束中心定位检测,结果表明:新算法能对系统状态做出准确判断,与传统方法相比,滤波精度较高、实用性好、鲁棒性强,能满足工业在线检测的要求。

Improved Sage-Husa algorithm and its application in industrial online measurement

An improved Sage-Husa adaptive filter algorithm is proposed based on the existing methodologies in light of the complex and changing environment of the industrial online measurement. This algorithm,after a new observed value is obtained,first judges whether the filter is in a normal state by the filtering divergence criterion,if not,it judges whether the new observed value is an outlier and takes countermeasures varying with the judgment so as to improve the performance of the Sage-Husa algorithm in industrial measurement. The result indicates that compared with traditional methodologies,this new algorithm is applicable to measure the location of the center point of laser beam in a simulated industrial environment,makes accurate judgment about the system status,features better precision,practicality and robustness and thus can satisfy the requirements of industrial online measurement.