对地观测卫星姿态控制系统效能评估方法

曹寅; 程月华; 高波; 张燕华; 徐贵力

doi:10.13700/j.bh.1001-5965.2022.0489

对地观测卫星姿态控制系统效能评估方法

doi: 10.13700/j.bh.1001-5965.2022.0489

1.
南京航空航天大学自动化学院，南京 211100
2.
中国西安卫星测控中心，西安 710000

详细信息

通讯作者:
E-mail：chengyuehua@nuaa.edu.cn

中图分类号: V448；N941.5
计量
- 文章访问数: 234
- HTML全文浏览量: 95
- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2022-06-16
- 录用日期: 2022-06-23
- 网络出版日期: 2022-11-21
- 整期出版日期: 2024-05-29

Effectiveness evaluation method for earth observation satellite attitude control system

1.
School of Automation，Nanjing University of Aeronautics and Astronautics，Nanjing 211100，China
2.
China Xi’an Satellite Monitoring and Control Center，Xi’an 710000，China

More Information

Corresponding author: E-mail：chengyuehua@nuaa.edu.cn

摘要

摘要:
卫星系统效能评估问题，是卫星提高工作效率和卫星方案优化设计的基础。以对地观测卫星姿态控制系统作为效能评估的对象，通过对卫星的任务需求进行分析，建立对地观测卫星姿态控制系统效能评估指标体系；基于灰色关联分析相关理论，引入熵权法计算指标权重，建立效能评估模型，计算得到综合灰色关联度，实现卫星姿态控制系统效能评估；通过数据验证所建体系具有可实现性与实用性。
- 卫星姿态控制系统 /
- 效能评估 /
- 灰色关联分析 /
- 熵权法 /
- 对地观测卫星
Abstract:
The problem of satellite system effectiveness assessment is the basis of satellite efficiency improvement and satellite program optimization design. Taking the attitude control system for earth observation satellite attitude control system as the object of effectiveness assessment, an analysis of satellite requirements is conducted to establish the effectiveness assessment index system for the earth observation satellite attitude control system. Based on the theory related to gray correlation analysis, the entropy weight method was introduced to calculate the index weights, and the effectiveness assessment model was established to calculate the comprehensive gray correlation degree, and realize the effectiveness assessment of satellite attitude control system. The realizability and practicality of the established system were verified through data.
- satellite attitude control system /
- effectiveness evaluation /
- grey relational analysis /
- entropy weight method /
- earth observation satellite

HTML全文

图 1 卫星姿态控制系统控制模型

Figure 1. Control model for satellite attitude control system

下载: 全尺寸图片幻灯片

图 2 卫星姿态控制系统效能指标体系

Figure 2. Effectiveness index system for satellite attitude control system

下载: 全尺寸图片幻灯片

图 3 效能评估流程

Figure 3. Effectiveness assessment process

下载: 全尺寸图片幻灯片

图 4 微型三轴气浮台系统

Figure 4. Micro triaxial air floatation table system

下载: 全尺寸图片幻灯片

图 5 综合灰色关联度评估结果

Figure 5. Integrated grey correlation assessment results

下载: 全尺寸图片幻灯片

图 6 效能指标值对比

Figure 6. Comparison of efficiency index values

下载: 全尺寸图片幻灯片

表 1 机动过程效能指标

Table 1. Motorized process effectiveness indicators

编号	姿态角指向精度/(°)	指向稳定度/((°)·s⁻¹)	机动角速度/((°)·s⁻¹)	姿态控制能耗/J	姿态控制响应时间/s	姿态角确定精度/(°)	最大侧摆角/(°)
S1	0.138 7	0.008 5	0.885 2	0.122 8	9.400 0	0.080 0	31.263 7
S2	0.133 1	0.011 5	0.819 6	0.157 3	14.200 0	0.080 0	31.263 7
S3	0.109 8	0.009 4	0.950 8	0.117 5	9.400 0	0.080 0	28.178 6
S4	0.088 1	0.017 7	0.852 4	0.074 7	11.600 0	0.080 0	28.178 6
S5	0.149 2	0.008 5	0.918 0	0.076 8	8.800 0	0.080 0	31.253 4
S6	0.104 6	0.010 3	0.918 0	0.162 6	12.000 0	0.080 0	32.735 2
S7	0.124 8	0.017 8	0.918 0	0.157 3	7.200 0	0.080 0	32.735 2
S8	0.109 5	0.018 1	1.016 3	0.116 5	6.200 0	0.080 0	31.255 4
S9	0.098 8	0.013 7	1.049 1	0.105 2	5.400 0	0.080 0	31.263 7
S10	0.105 1	0.007 5	1.180 3	0.169 7	10.200 0	0.080 0	31.263 7
S11	0.121 5	0.054 6	1.016 3	0.131 7	14.000 0	0.080 0	30.252 4
S12	0.086 2	0.010 9	0.819 6	0.050 6	8.200 0	0.080 0	31.263 7
S13	0.085 3	0.009 1	0.950 8	0.105 8	6.200 0	0.080 0	31.282 7
S14	0.063 4	0.015 2	0.918 0	0.105 7	12.400 0	0.080 0	31.250 0
S15	0.106 6	0.023 6	0.983 5	0.092 3	7.400 0	0.080 0	31.243 0
S16	0.075 3	0.008 5	0.655 7	0.044 8	5.200 0	0.080 0	31.280 0
S17	0.113 6	0.006 0	0.885 2	0.077 2	5.200 0	0.080 0	31.280 0
S18	0.159 6	0.027 1	0.918 0	0.116 1	9.000 0	0.080 0	32.674 2
S19	0.275 0	0.013 8	0.918 0	0.325 7	4.600 0	0.080 0	32.674 2

下载: 导出CSV

表 2 效能指标标准化结果

Table 2. Standardized results of performance indicators

编号	姿态角指向精度	指向稳定度	机动角速度	姿态控制能耗	姿态控制响应时间	姿态角确定精度	最大侧摆角
S1	0.7420	1.0000	0.7704	0.7720	0.7067	0.8000	0.9080
S2	0.7793	0.9250	0.6392	0.4270	0.3867	0.8000	0.9080
S3	0.9347	1.0000	0.9016	0.8250	0.7067	0.8000	0.5223
S4	1.0000	0.6150	0.7048	1.0000	0.5600	0.8000	0.5223
S5	0.6720	1.0000	0.8360	1.0000	0.7467	0.8000	0.9067
S6	0.9693	0.9850	0.8360	0.3740	0.5333	0.8000	1.0000
S7	0.8347	0.6100	0.8360	0.4270	0.8533	0.8000	1.0000
S8	0.9367	0.5950	1.0000	0.8350	0.9200	0.8000	0.9069
S9	1.0000	0.8150	1.0000	0.9480	0.9733	0.8000	0.9080
S10	0.9660	1.0000	1.0000	0.3030	0.6533	0.8000	0.9080
S11	0.8567	0.0000	1.0000	0.6830	0.4000	0.8000	0.7816
S12	1.0000	0.9550	0.6392	1.0000	0.7867	0.8000	0.9080
S13	1.0000	1.0000	0.9016	0.9420	0.9200	0.8000	0.9103
S14	1.0000	0.7400	0.8360	0.9430	0.5067	0.8000	0.9063
S15	0.9560	0.3200	0.9670	1.0000	0.8400	0.8000	0.9054
S16	1.0000	1.0000	0.3114	1.0000	0.9867	0.8000	0.9100
S17	0.9093	1.0000	0.7704	1.0000	0.9867	0.8000	0.9100
S18	0.6027	0.1450	0.8360	0.8390	0.7333	0.8000	1.0000
S19	0.0000	0.8100	0.8360	0.0000	1.0000	0.8000	1.0000

下载: 导出CSV

表 3 综合评估结果

Table 3. Comprehensive assessment results

编号	最优序列关联度	最差序列关联度	综合灰色关联度
S13	0.910 9	0.478 8	0.783 5
S17	0.902 0	0.479 6	0.779 6
S16	0.935 4	0.499 9	0.777 9
S12	0.875 0	0.494 2	0.758 1
S9	0.834 0	0.489 7	0.743 7
S5	0.815 2	0.503 4	0.723 9
S3	0.774 9	0.516 3	0.692 5
S14	0.727 5	0.534 2	0.649 7
S1	0.703 6	0.522 9	0.644 1
S4	0.715 1	0.556 2	0.623 1
S8	0.668 1	0.529 3	0.614 4
S10	0.720 9	0.572 7	0.613 1
S15	0.709 4	0.565 2	0.611 7
S6	0.696 6	0.573 9	0.595 7
S2	0.561 0	0.606 4	0.461 2
S7	0.522 8	0.586 6	0.442 7
S18	0.502 4	0.649 0	0.374 7
S19	0.502 7	0.750 0	0.310 0
S11	0.481 5	0.727 2	0.304 8

下载: 导出CSV

表 4 评估结果对比

Table 4. Comparison of assessment results

灰色关联分析	优劣解距离法	模糊综合评价
0.7835(S13)	0.9464(S13)	0.9717(S13)
0.7796(S17)	0.9255(S17)	0.9711(S17)
0.7779(S16)	0.8856(S9)	0.9593(S16)
0.7581(S12)	0.8811(S12)	0.9486(S12)
0.7437(S9)	0.8370(S5)	0.9354(S9)
0.7239(S5)	0.8360(S16)	0.9211(S5)
0.6925(S3)	0.8351(S3)	0.9058(S3)
0.6497(S14)	0.7981(S1)	0.8702(S1)
0.6441(S1)	0.7813(S14)	0.8672(S14)
0.6231(S4)	0.7467(S8)	0.8389(S8)
0.6144(S8)	0.7314(S4)	0.8349(S4)
0.6131(S10)	0.6635(S6)	0.8017(S15)
0.6117(S15)	0.6548(S15)	0.7987(S10)
0.5957(S6)	0.6533(S10)	0.7959(S6)
0.4612(S2)	0.6289(S2)	0.7408(S2)
0.4427(S7)	0.5991(S7)	0.7201(S7)
0.3747(S18)	0.5165(S18)	0.6557(S18)
0.3100(S19)	0.4686(S11)	0.5957(S11)
0.3048(S11)	0.4300(S19)	0.5649(S19)
注：（Si）表示机动过程。

下载: 导出CSV

参考文献(17)

[1]	GUO H D, FU W X, LIU G. Chinese earth observation satellites[C]//Proceedings of the Scientific Satellite and Moon-Based Earth Observation for Global Change. Berlin: Springer, 2019: 189-243.
[2]	RIVETT C, PONTECORVO C. Improving satellite surveillance through optimal assignment of assets: DSTO-TR-1488[R]. Canberra: Australian Government Department of Defense, 2003: 1-36.
[3]	BOLKUNOV A I, KRASIL’SHIKOV M N, MALYSHEV V V. Comprehensive assessment of the effectiveness of navigation satellite systems[J]. Journal of Computer and Systems Sciences International, 2022, 61(3): 430-446. doi: 10.1134/S1064230722030030
[4]	SHAO R R, FANG Z G, TAO L Y, et al. A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information[J]. Grey Systems:Theory and Application, 2022, 12(2): 417-461. doi: 10.1108/GS-03-2021-0030
[5]	易山. 基于不确定性的遥感卫星系统效能评估[D]. 哈尔滨: 哈尔滨工业大学, 2021: 10-35. YI S. Effectiveness evaluation of remote sensing satellite system based on uncertainty[D]. Harbin: Harbin Institute of Technology, 2021: 10-35(in Chinese).
[6]	KAZAKEVICIUTE-JANUSKEVICIENE G, JANUSONIS E, BAUSYS R. Evaluation of the segmentation of remote sensing images[C]//Proceedings of the 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences. Piscataway: IEEE Press, 2021: 1-7.
[7]	MUHURI A, GASCOIN S, MENZEL L, et al. Performance assessment of optical satellite-based operational snow cover monitoring algorithms in forested landscapes[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 7159-7178. doi: 10.1109/JSTARS.2021.3089655
[8]	WANG Y X, ZHAO Y Y. A data-based performance evaluation method for aircraft attitude control system[C]//Proceedings of the 2021 40th Chinese Control Conference. Piscataway: IEEE Press, 2021: 6691-6696.
[9]	闻新, 龙弟之, 王俊鸿, 等. 基于1D-CNN的卫星姿态控制系统故障诊断方法[J]. 兵工自动化, 2020, 39(7): 1-6. WEN X, LONG D Z, WANG J H, et al. Fault diagnosis method of satellite attitude control system based on 1D-CNN[J]. Ordnance Industry Automation, 2020, 39(7): 1-6(in Chinese).
[10]	钱晨. 基于遥测数据的卫星姿态控制系统故障检测方法[D]. 杭州: 浙江大学, 2021: 11-59. QIAN C. Satellite attitude control system fault detection method based on telemetry data[D]. Hangzhou: Zhejiang University, 2021: 11-59(in Chinese).
[11]	肖磊. 基于星敏感器和陀螺组合的卫星姿态确定方法研究[D]. 长春: 中国科学院大学(中国科学院长春光学精密机械与物理研究所), 2021: 9-39. XIAO L. Research on satellite attitude determination method based on the combination of star-sensor and gyroscope[D]. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2021: 9-39(in Chinese).
[12]	LIU S F, IIN Y. Grey Systems: Theory and application[M]. Berlin: Springer, 2010: 44-45.
[13]	黄乾坤, 吴娅辉. 最大熵原理及改进方法的研究现状[J]. 计测技术, 2022, 42(1): 9-17. HUANG Q K, WU Y H. Research status of the maximum entropy principle and improved methods[J]. Metrology & Measurement Technology, 2022, 42(1): 9-17(in Chinese).
[14]	郑天芳, 曲娜, 张帅, 等. 基于AHP-熵权法的高层建筑电气火灾风险评价[J]. 沈阳航空航天大学学报, 2022, 39(1): 69-76. ZHENG T F, QU N, ZHANG S, et al. Electrical fire risk assessment of high-rise buildings based on AHP-entropy weight method[J]. Journal of Shenyang Aerospace University, 2022, 39(1): 69-76(in Chinese).
[15]	XIAO X P, GUO H. Optimization method of grey relation analysis based on the minimum sensitivity of attribute weights[C]//Proceedings of the Advances in Grey Systems Research. Berlin: Springer, 2010: 177-189.
[16]	东亚斌, 段志善. 灰色关联度分辨系数的一种新的确定方法[J]. 西安建筑科技大学学报(自然科学版), 2008, 40(4): 589-592. DONG Y B, DUAN Z S. A new determination method for identification coefficient of grey relational grade[J]. Journal of Xi’an University of Architecture & Technology (Natural Science Edition), 2008, 40(4): 589-592(in Chinese).
[17]	李旭东. 基于气浮台的航天器姿轨控地面模拟系统关键技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2020: 9-25. LI X D. Research on key technologies of spacecraft attitude and orbit control ground simulation system based on air float platform[D]. Harbin: Harbin Institute of Technology, 2020: 9-25(in Chinese).