基于双GPS_INS组合导航关键技术研究
[Abstract]:Navigation system plays an important role in the positioning and control of aircraft, and integrated navigation technology is an effective way to improve navigation accuracy, among which GPS_INS integrated navigation is the main direction of integrated navigation technology development. In this paper, the research work of dual GPS_INS integrated navigation system is carried out. The purpose of the research is to improve the navigation accuracy and to output positioning information and attitude angle information, including longitude, latitude and altitude. Yaw angle, pitch angle, roll angle, the key technology of integrated navigation are studied, and a reasonable scheme is designed. Firstly, the background, purpose and significance of the thesis are studied, the main research contents and working arrangements are determined, the communication interface between the sensor and the processor, the control program in the processor and so on are designed from the overall structure. Aiming at the research content, the experimental system is built on the premise of combining theory with practice. Secondly, in this paper, the mathematical model of dual GPS relative pseudo-range differential positioning and the mathematical model of INS navigation are derived, and the Kalman filter is selected as the main method of data fusion in integrated navigation. Based on the analysis of the common models of Kalman filter, the mathematical model of dual GPS_INS integrated navigation system is derived, and the interval adaptive Kalman filter is improved to improve the accuracy of integrated navigation. Thirdly, the software platform of integrated navigation system based on LabVIEW is designed. The software can display the attitude angle of the system and the positioning information of the carrier in real time, and set the threshold alarm function of the attitude angle. The monitored navigation information can be stored selectively. Finally, the system is debugged and concluded. The accuracy of integrated navigation system is higher and more stable than that of single GPS or INS navigation system, and the precision of double GPS and INS integrated navigation system is higher and more stable than that of single GPS and INS integrated navigation system. The effect of interval adaptive algorithm and Kalman filter is better than that of ordinary algorithm and Kalman filter, and many model and measurement errors can be reduced.
【学位授予单位】:燕山大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TN96.2;P228.4
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