Research on the Comprehensive Processing Method of Measurement Information Based on Multi-Source Sensor

doi:10.1109/ITOEC49072.2020.9141758

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光电测量技术实验室

	Research on the Comprehensive Processing Method of Measurement Information Based on Multi-Source Sensor
	Meilin, Xie 3; Cao, Yu 1,2,3; Wei, Hao 3; Wei, Huang 3; Xuezheng, Lian 3; Tianye, Yu 2,3; Kai, Liu 3; Feng, Jing 2,3
	2020-06
会议日期	2020-06-12
会议地点	Chongqing, China
关键词	Photoelectric Pod Matching Correction Adaptive Optimal Estimation Tracking Accuracy
DOI	10.1109/ITOEC49072.2020.9141758
页码	426-431
英文摘要	In order to solve the problems of tracking accuracy and servo performance degradation caused by the lagging measurement information and amplitude mismatch of the heterogenous sensor in the photoelectric pod system, a high-precision comprehensive processing method based on multisource sensor measurement information is proposed in this paper according to the typical control loop of the photoelectric tracking system. Firstly, based on the optimal estimation theory, the output miss distance of the tracker is pre estimated to solve the problem of insufficient estimation of target position accuracy and high speed noise. Then, in view of the information mismatch between the angle sensor and the angular velocity sensor, the nonlinear tracking differentiator is used to get the angular velocity of the angle sensor and make a difference with the measured value of the angular velocity sensor. Finally, the amplitude and delay of the measurement information are adjusted adaptively according to the size of the root mean square of the difference value until the difference value is minimized. The algorithm was applied to the stable tracking experiment of a certain type of pod, and the results showed that the tracking accuracy increased from 92\ \mu \text{rad} to 54\ \mu \text{rad}, which significantly improved the tracking accuracy of the system and proved the effectiveness of the algorithm. The method proposed in this paper can be quickly applied to other photoelectric systems, and has reference significance[1]. © 2020 IEEE.
产权排序	1
会议录	Proceedings of 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference, ITOEC 2020
会议录出版者	Institute of Electrical and Electronics Engineers Inc., United States
语种	英语
ISBN号	9781728143224
WOS记录号	WOS:000617764100082
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/94437]
专题	西安光学精密机械研究所_光电测量技术实验室
作者单位	1.School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.Key Laboratory of Space Precision Measurement Technology, Chinese Academy of Sciences, Xi'an; 710119, China;
推荐引用方式 GB/T 7714	Meilin, Xie,Cao, Yu,Wei, Hao,et al. Research on the Comprehensive Processing Method of Measurement Information Based on Multi-Source Sensor[C]. 见:. Chongqing, China. 2020-06-12.