自适应UKF在空间相机热平衡试验中的应用研究  

Application Research of the Adaptive Unscented Kalman Filter in Thermal Balance Test of Space Camera

作　　者：夏晨晖 赵振明[1] XIA Chenhui;ZHAO Zhenming(Beijing Institute of Space Mechanics ＆ Electricity, Beijing 100094, China)

机构地区：[1]北京空间机电研究所,北京100094

出　　处：《航天返回与遥感》2018年第2期45-54,共10页Spacecraft Recovery & Remote Sensing

摘　　要：光学遥感相机热平衡试验是研制遥感相机的必要手段,是准确获取相机热态特性的试验方法。根据试验条件的不同,试验往往需要数小时至数十小时不等的时间,才能使遥感相机达到稳态平衡温度。为缩短热平衡试验时间,提出了一种基于自适应无味卡尔曼滤波(AUKF)的热平衡试验温度快速预测方法,只需利用较短时间的温度采样数据,就能快速预测温度变化规律,获得稳态温度,大幅度提高了热平衡试验的效率。以某遥感相机热平衡试验中升温过程和降温过程的温度变化数据为例,预测了测温点从初始温度状态到达稳态温度状态这一过程的温度变化曲线,验证了基于自适应无味卡尔曼滤波的热平衡试验温度快速预测方法的有效性和可行性。Thermal balance test of an optical remote sensor is a necessary step in designing the sensor, and also an experimental method to obtain thermal characteristics of the sensor accurately. However, the test duration is always very long when the sensor reaches a thermal equilibrium state, about several hours or even longer in different experimental conditions. In order to shorten the thermal balance test duration, a fast temperature prediction method based on adaptive unscented Kalman filter（AUKF） is presented in this paper. In this way, temperature change regularity of the sensor can be predicted rapidly, and the steady temperature state can be also achieved using the measured temperature data during a short time. The method can greatly improve the efficiency of thermal balance test for the sensor. At last, taking a temperature rise curve and a temperature lowering curve in a thermal balance test of the sensor as two examples, the temperature variation curves from the initial state to the steady state are predicted using the measured temperature data in a short time. The results prove that the fast temperature prediction method based on adaptive unscented Kalman filter is effective and feasible in thermal balance test.

关 键 词：热平衡试验 自适应无味卡尔曼滤波 预测 光学遥感相机 

分 类 号：V416.4[航空宇航科学与技术—航空宇航推进理论与工程]