基于UKF的定日镜姿态角最优估计研究  

UKF-BASED OPTIMAL ESTIMATION OF ORIENTATION FOR A HELIOSTAT

作　　者：许芬[1] 王凯迪[1] 

机构地区：[1]北方工业大学机电学院自动化系,北京100144

出　　处：《太阳能学报》2012年第7期1226-1234,共9页Acta Energiae Solaris Sinica

摘　　要：针对定日镜姿态角估计的非线性问题,提出用无味卡尔曼滤波方法(UKF)来估计定日镜的姿态角。对方位-高度角跟踪方式的定日镜跟日模型及其反射光斑中心位置进行分析。利用测量得到的光斑中心数据,建立了定日镜跟日过程中姿态角的估计模型。仿真结果以及实际测量数据实验表明UKF算法能够对定日镜实际姿态角进行比较准确的估计并具有较好的抗干扰性。Aiming to improve the accuracy of heliostat, it was proposed to use unscented Kalman filter （UKF） to find the optimal estimation of orientation during heliostat＇ s sun tracking process. The sun-tracking model of an azi- muth-altitude rotating heliostat and its reflecting sun beam position were analyzed. Based on the sun image data, the UKF-based estimation model for the orientation of the heliostat was present. Simulation and measurements showed that the UKF-based estimations for the orientation of the heliostat gives a more accurate result, and is more robust.

关 键 词：无味卡尔曼滤波 无味变换 定日镜姿态角估计 

分 类 号：TK513.1[动力工程及工程热物理—热能工程]