期刊文献+

发射系下SINS/GPS组合导航系统的算法研究 被引量:3

Study of Algorithm for SINS/GPS Integrated Navigation System in Launch Inertial Coordinate System
下载PDF
导出
摘要 基于地理坐标系下的传统捷联惯性导航系统无法直接获取发射系下的导航参数,难以满足空天飞行器等高轨道飞行器对高精度、高可靠性导航系统的需求,研究了发射系下捷联惯性导航算法。搭建了基于扩展卡尔曼滤波(EKF)的SINS/GPS组合导航模型,传感器获取的导航量测信息直接在发射系下进行捷联惯导解算,为飞行器等提供位置、姿态等信息。采用STM32、XSENS惯性器件和GPS接收机构建相应的算法验证平台。实验结果表明:发射系下的SINS/GPS组合导航系统能提供较高的导航精度,从而验证了发射系下的SINS/GPS组合导航系统算法的正确性与合理性。 Traditional strapdown inertial navigation algorithm based on geography coordinate system can not directly obtain the navigation parameters under launch inertial coordinate system. It’s difficult for high orbiters such as aerospace vehicles to be provided with high precision, high reliability navigation system. Therefore, this paper carried out a research on the strapdown inertial navigation algorithm under launch inertial coordinate system and established SINS/GPS inertial navigation model on the basis of extended Kalman filter. The navigation measurement information obtained by the sensors under launch inertial coordinate system was directly used to calculate position and attitude of the aircraft. To verify the validity of the integrated navigation algorithm, the hardware platform based on XSENS inertial device, GPS receiver and STM32 embedded system was established. Experimental results indicated that the SINS/GPS integrated navigation system under launch inertial coordinate system can achieve higher navigation precision. Thus algorithm proposed in this paper is valid and reasonable.
出处 《兵工自动化》 2017年第10期6-10,共5页 Ordnance Industry Automation
基金 国家自然科学基金(61533009 61374115) 江苏省六大人才高峰资助(2013-JY-013) 江苏高校优势学科建设工程 中央高校基本科研业务费专项资金(NP2015406 NP20152212) 南京航空航天大学大学研究生创新基地(实验室)开放基金资助(kfjj20150315)
关键词 发射惯性系 SINS/GPS组合导航 EKF 硬件平台 launch inertial coordinate system SINS/GPS integrated navigation extended Kalman filter hardware platform
  • 相关文献

参考文献3

二级参考文献15

  • 1杨常松,徐晓苏,汪丽云,李瑶.信息融合技术在INS/GPS/DVL组合导航中的应用研究[J].中国惯性技术学报,2006,14(5):39-43. 被引量:14
  • 2王慧南.GPS导航原理与应用[M].北京:科学出版社,2003.
  • 3XIAOJUAN W, XINLONG W. A SINS/CNS deep integrated navigation method based on mathematical horizon reference [J].Aircraft Engineering and Aerospace Technology, 2011, 83(1): 26-34.
  • 4WANG R, XIONG Z, LIU J, et al. SINS/GPS/CNS information fusion system based on improved Huber filter with classified adaptive factors for high-speed UAVs [C]. Position Location and Navigation Symposium (PLANS), 2012 IEEE/ION, IEEE, 2012:441-446.
  • 5GAO S, ZHONG Y, ZHANG X, et al. Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system[J]. Aerospace Science and Technology, 2009, 13(4): 232-237.
  • 6YAN J, XU X. Design and experiment of SINS/GPS integrated navigation system [J]. Journal of Computers, 2013, 8(8): 1973-1978.
  • 7XIONG ZHI, CHEN JIHUI, WANG RONG, et al. A new dynamic vector formed information sharing algorithm in federated filter[J]. Aerospace Science and Technology, 2013, 29(1): 37-46.
  • 8祝燕华,蔡体菁,杨卓鹏.MEMS-IMU/GPS组合导航系统的实现[J].中国惯性技术学报,2009,17(5):552-556. 被引量:18
  • 9温永智,吴杰.弹道导弹捷联惯导/天文组合导航方案研究[J].飞行力学,2010,28(6):87-90. 被引量:3
  • 10钟乐,胡延霖,陈永明,王翌臣.一种基于DSP的SINS/GPS组合导航系统实现[J].舰船电子工程,2011,31(2):55-57. 被引量:6

共引文献14

同被引文献23

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部