| 摘要: |
| 总结了目前我国提高惯性系统导航精度的技术途径，阐述了国内外惯性系统误差参数辨识方法的研究现状，介绍了当前滤波算法、智能优化算法和人工神经网络方法在惯性系统导航领域的应用情况以及存在的不足。最后，分析了空间飞行器惯性系统误差参数辨识技术的未来研究方向，即智能优化算法和人工神经网络方法等智能方法将在惯性系统误差参数辨识中发挥越来越重要的作用，通过将误差系数标定问题转换为参数辨识问题，采用智能方法在庞大的解空间内实现对惯性系统误差参数的快速辨识。 |
| 关键词: 空间飞行器 惯性导航系统 误差参数辨识 智能优化算法 人工神经网络方法 |
| DOI： |
|
| 基金项目:国家自然科学基金（61603398） |
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| Application of Intelligent Method in Error Parameter Identification of INS |
| GUO Wei-lin,XIAN Yong |
| (Institute of War Support, Rocket Force University of Engineering, Xi'an 710025, China) |
| Abstract: |
| The technical ways to improve the navigation accuracy of INS (Inertial Navigation System) in China are summarized, and the research status of error parameter identification method of INS is expounded at home and abroad, then the application cases of current filtering algorithm, intelligent optimization algorithm and artificial neural network method in the field of INS, as well as the existing shortcomings are introduced. Finally, the future research direction of error parameter identification technology of INS for space vehicle is analyzed, that is, intelligent method such as intelligent optimization algorithm and artificial neural network method will play an increasingly important role in the error parameter identification of INS, and transforming the calibration problem of error coefficient into parameter identification problem, and then using intelligent method to realize the rapid identification of error parameters of INS in a huge solution space. |
| Key words: Space vehicle Inertial navigation system Error parameter identification Intelligent optimization algorithm Artificial neural network method |
