| Research on the Comprehensive Processing Method of Measurement Information Based on Multi-Source Sensor | |
| Meilin, Xie1; Cao, Yu1,2,3; Wei, Hao1; Wei, Huang1; Xuezheng, Lian1; Tianye, Yu1,3; Kai, Liu1; Feng, Jing1,3 | |
| 2020-06 | |
| 会议名称 | 5th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2020 |
| 会议录名称 | Proceedings of 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference, ITOEC 2020 |
| 页码 | 426-431 |
| 会议日期 | 2020-06-12 |
| 会议地点 | Chongqing, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc., United States |
| 产权排序 | 1 |
| 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. |
| 关键词 | Photoelectric Pod Matching Correction Adaptive Optimal Estimation Tracking Accuracy |
| 作者部门 | 光电跟踪与测量技术研究室 |
| DOI | 10.1109/ITOEC49072.2020.9141758 |
| 收录类别 | EI ; CPCI |
| ISBN号 | 9781728143224 |
| 语种 | 英语 |
| WOS记录号 | WOS:000617764100082 |
| EI入藏号 | 20203809211723 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/94437 |
| 专题 | 光电跟踪与测量技术研究室 |
| 作者单位 | 1.Key Laboratory of Space Precision Measurement Technology, Chinese Academy of Sciences, Xi'an; 710119, China; 2.School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China; 3.University of Chinese Academy of Sciences, Beijing; 100049, 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]:Institute of Electrical and Electronics Engineers Inc., United States,2020:426-431. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Research on the Comp（6027KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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