国防科技大学学报2017，Vol.39Issue(2)：64-70,7.DOI:10.11887/j.cn.201702009
平流层飞艇抗风场干扰约束Unscented卡尔曼滤波算法设计与应用
Design and application on constraints unscented Kalman filter for stratospheric airship with wind field disturbance
摘要
Abstract
To improve the navigation accuracy of airship in the disturbance environment of wind field, a navigation algorithm with anti-interference of wind field was studied.Based on building up an error constraints model of the airship velocity in wind field disturbance, a constraints unscented Kalman filter algorithm which resists wind field disturbance was designed.The error constraint vector of airship velocity was determined.To decrease the impact of wind field on positional accuracy of airship, the velocity error was estimated and compensated by the combination of unscented Kalman filter and error constraint vector.The state estimation value of proposed algorithm was proved to be unbiased, and the covariance was less than that of the standard unscented Kalman filter.The proposed algorithm was applied to SINS/CNS/SAR integrated navigation system and conducted simulation, and was compared with the adaptive extended Kalman filter and robust adaptive unscented Kalman filter.The simulation results show that not only the filter performance of the proposed constraints unscented Kalman filter was much better than those of adaptive extended Kalman filtering and robust adaptive unscented Kalman filter, but also the impact of wind filed on positional accuracy of was reduced and the navigation accuracy of airship was improved effectively.关键词
组合导航/平流层飞艇/风场估计/约束Unscented卡尔曼滤波Key words
integrated navigation/stratospheric airship/wind filed estimation/constraints unscented Kalman filter分类
航空航天引用本文复制引用
赵岩,高社生,丁晓,韦道知..平流层飞艇抗风场干扰约束Unscented卡尔曼滤波算法设计与应用[J].国防科技大学学报,2017,39(2):64-70,7.基金项目
国家自然科学基金资助项目(61174193) （61174193）
