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作 者:叶志龙 王融[3] 熊智[3] 刘建业[3] 赵静欣 YE Zhilong;WANG Rong;XIONG Zhi;LIU Jianye;ZHAO Jingxin(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240;Shanghai Aerospace Control Technology Institute,Shanghai 201109;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016)
机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240 [2]上海航天控制技术研究所,上海201109 [3]南京航空航天大学自动化学院,南京210016
出 处:《飞控与探测》2022年第6期32-37,共6页Flight Control & Detection
基 金:国家重点研发计划项目(2019YFA0706003);上海航天科技创新基金(SAST2020-073)。
摘 要:对于高超声速飞行器而言,惯性/天文组合导航的应用将面临异常值干扰和噪声特性变化等问题,需要控制天文量测中异常值扰动的影响,从而提高对于可靠量测信息的利用效率。为此,研究了一种基于平衡因子的组合导航方法,采用鲁棒滤波方法进行惯性/天文组合导航系统的量测更新,将自适应滤波技术引入鲁棒滤波中,考虑到天文量测信息不同的噪声特性和水平,将自适应因子分解为姿态自适应因子和位置自适应因子,以平衡状态预测信息和天文测量信息的贡献。仿真结果表明,该方法可以显著提高高动态环境影响下的组合导航性能。For hypersonic vehicles, the application of inertial/astronomical integrated navigation will face problems such as outlier interference and noise characteristic changes. It is necessary to control the influence of outlier disturbance in astronomical measurements, thereby improving the utilization efficiency of reliable measurement information. For this reason, this paper studies an integrated navigation method based on the balance factors, which uses the robust filtering method to update the measurement of inertial/astronomical integrated navigation system, and introduces the adaptive filtering technology into robust filtering. Considering the different noise characteristics and levels of astronomical measurement information, the adaptive factor is decomposed into attitude adaptive factor and position adaptive factor, so as to balance the contribution of state prediction information and astronomical measurement information. The simulation results show that the method in this paper can significantly improve the performance of integrated navigation under the influence of highly dynamic environments.
关 键 词:惯性/天文组合导航 高超声速飞行器 多信息融合 Huber鲁棒滤波
分 类 号:U666.1[交通运输工程—船舶及航道工程]
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