飞行器机载精密仪器温控系统性能的实验研究

doi:10.11949/0438-1157.20200127

摘要/Abstract

摘要：

为提高飞行器机载精密仪器的性能，设计了一种基于被动散热与主动控温的温控系统。该系统采用热管和辐射涂层作为被动散热装置将仪器内热量传出，再利用半导体制冷器和保温层进行第一级控温，并利用电加热装置进行第二级控温，最后设计控制逻辑进行控温。搭建了验证实验台，测试了不同工况下温控系统的温控精度。结果表明，在不同环境温度和温控系统设定温度工况下，该温控系统的温控精度均在±0.1℃以内。

关键词: 飞行器, 传热, 辐射, 半导体制冷器, 温控, 实验验证

Abstract:

To improve the performance of aircraft precision instrument, a temperature control system with passive heat dissipation and active temperature control was designed. In the system, the heat pipe and radiation coating were used as passive radiator to transfer the heat from the instrument. The first stage temperature control was established by semiconductor cooler and insulation layer, and the second stage temperature control was established by electric heating device. The control logic was designed to control temperature. A verification test platform was built, and the temperature control accuracy of the temperature control system under different operating conditions was tested. The result shows that the temperature control accuracy of the system is within ±0.1℃ under the conditions of different environmental temperatures and system setting temperatures.

Key words: aircraft, heat transfer, radiation, semiconductor cooler, temperature control, experimental validation

中图分类号:

TK 124

李阳, 常守金, 胡海涛, 孙浩然, 赖展程, 刘善敏. 飞行器机载精密仪器温控系统性能的实验研究[J]. 化工学报, 2020, 71(S1): 77-82.

Yang LI, Shoujin CHANG, Haitao HU, Haoran SUN, Zhancheng LAI, Shanmin LIU. Experimental investigation on performance of temperature control system for aircraft precision instrument[J]. CIESC Journal, 2020, 71(S1): 77-82.

图/表 5

图1 温控系统示意图1—敏感元件；2—电加热温控装置；3—发热元件；4—热管；5—多级结构；6—保温层；7—半导体制冷片及热沉结构

Fig.1 Temperature control system

图2 控制逻辑框图

Fig.2 Flow chart of control logic

图3 温控系统实验台

Fig.3 Experimental rig of temperature control system

图4 温控装置对敏感元件温度的影响

Fig.4 Effect of temperature control device on temperature of sensor

图5 不同工况下敏感元件温度变化趋势

Fig.5 Temperature trend of sensor under different working conditions

参考文献 30

1	康开华, 才满瑞. 欧洲过渡性实验飞行器项目[J]. 导弹与航天运载技术, 2012, (4): 58-62.
	Kang K H, Cai M R. European intermediate experimental vehicle project[J]. Missiles and Space Vehicles, 2012, (4): 58-62.
2	王国栋. 惯性/卫星组合导航系统综述[J]. 科技视界, 2019, (21): 115-117.
	Wang G D. Research progress of inertial / satellite integrated navigation system[J]. Science & Technology Vision, 2019, (21): 115-117.
3	Zhashitov V E D, Pankratov V M. Using the method of elementary balances for analysis and synthesis of thermal control system for FOG SINS based on Peltier modules[J]. Gyroscopy and Navigation, 2014, 5(4): 245-256.
4	Mason W, Wedekind D. Prediction and measurement of strapdown inertial measurement unit performance on lunar missions[C]//The AIAA Guidance, Control and Flight Mechanics Conference. 2013, 49(439): 136-139.
5	Niu X J, Li Y, Zhang H P, et al. Fast thermal calibration of low-grade inertial sensors and inertial measurement units[J]. Sensors, 2013, 13(9): 12192-12217.
6	Dzhashitov V E, Pankratov V M. Control of temperature fields of a strapdown inertial navigation system based on fiber optic gyroscopes[J]. Journal of Computer and Systems Sciences International, 2014, 53(4): 565-575.
7	Lefèvre H C. The fiber-optic gyroscope: achievement and perspective[J]. Gyroscopy and Navigation, 2012, 3(4): 223-226.
8	张鹏飞, 龙兴武. 机抖激光陀螺捷联系统中惯性器件的温度补偿的研究[J]. 宇航学报, 2006, 27(3): 522-526.
	Zhang P F, Long X W. Research on temperature compensation model of inertial sensor in mechanically dithered RLG’s SINS[J]. Astronaut, 2006, 27(3): 522-526.
9	刘元元, 杨功流, 尹洪亮. 基于双模型的光纤陀螺温度补偿方法[J]. 中国惯性技术学报, 2015, 23(1): 131-136.
	Liu Y Y, Yang G L, Yin H L. Temperature compensation for fiber optic gyroscope based on dual models[J]. Journal of Chinese Inertial Technology, 2015, 23(1): 131-136.
10	刘元元, 杨功流, 李思宜. BP-Bagging模型再光纤陀螺温度补偿中的应用[J]. 中国惯性技术学报, 2014, 22(2): 254-259.
	Liu Y Y, Yang G L, Li S Y. Application of BP-Bagging model in temperature compensation for fiber optic gyroscope[J]. Journal of Chinese Inertial Technology, 2014, 22(2): 254-259.
11	Jadav K, Panchal M. Optimizing weights of artificial neural networks using genetic algorithms[J]. International Journal of Advanced Research in Computer Science and Electronics Engineering, 2012, 1(10): 47-51.
12	程煜明, 张炎华. 光纤陀螺非线性温度漂移模型的辨识[J]. 上海交通大学学报, 1997, 31(12): 123-125, 129.
	Cheng Y M, Zhang Y H. Novel optimal designation methodology of ship SINS initial alignment[J]. Journal of Shanghai Jiao Tong University, 1997, 31(12): 123-125, 129.
13	周琪, 秦永元, 赵长山. 光纤陀螺温度漂移误差的模糊补偿方案研究[J]. 传感技术学报, 2010, 23(7): 926-930.
	Zhou Q, Qin Y Y, Zhao C S. Research on fuzzy compensation method of temperature drift for fiber optical gyro[J]. Chinese Journal of Sensors and Actuators, 2010, 23(7): 926-930.
14	钱峰, 田蔚风, 杨艳娟, 等. 基于受控马氏链的干涉型光纤陀螺温度漂移模型[J]. 光电子·激光, 2003, 14(7): 705-708.
	Qian F, Tian W F, Yang Y J, et al. A model on temperature drift of interference fiber optical gyros based on controlled Markov chain[J]. Journal of Optoelectronics· Laser, 2003, 14(7): 705-708.
15	Becker D, Nielsen J E, Diogo A S, et al. Drift reduction in strapdown airborne gravimetry using a simple thermal correction[J]. Journal of Geodesy, 2015, 89(11): 1133-1144.
16	Zhashitov V E D, Pankratov V M. Hierarchical thermal models of FOG-based strapdown inertial navigation system[J]. Gyroscopy and Navigation, 2014, 5(3): 162-173.
17	Dranitsyna E V, Egorov D A, Untilov A A, et al. Reducing the effect of temperature variations on FOG output signal[J]. Gyroscopy and Navigation, 2013, 4(2): 92-98.
18	Vapnik V. The Nature of Statistical Learning Theory[M]. New York: Wiley, 1998: 24-29.
19	Cao J L, Wang M H, Cai S K, et al. Optimized design of the SGA-WZ strapdown airborne gravimeter temperature control system[J]. Sensors, 2015, 15(12): 29984-29996.
20	Golikov A V, Pankratov V M. Analysis of temperature fields in angular velocity measurement units on fiber-optic gyros[J]. Gyroscopy and Navigation, 2018, 9(2): 116-123.
21	王怀光, 范红波, 任国全, 等. 基于增量式PID控制的半导体制冷温控系统[J]. 现代制造工程, 2013, (11): 110-113.
	Wang H G, Fan H B, Ren G Q, et al. The semiconductor refrigerator temperature control system based on increasing PID controlling method[J]. Modern Manufacturing Engineering, 2013, (11): 110-113.
22	向前. 某型号激光捷联惯组温控温补系统设计[D]. 长沙: 国防科学技术大学, 2010.
	Xiang Q. The temperature control and compensation system for the certain laser gyro strapdown inertial measurement unit[D]. Changsha: National University of Defense Technology, 2010.
23	Zhang R P. Unsteady heat transfer performance of heat pipe with axially swallow-tailed microgrooves[J]. IOP Conference Series Earth and Environmental Science, 2017, 61(1): 012003.
24	韩玉. 航空电子设备用热管研究[D]. 南京: 南京航空航天大学, 2005.
	Han Y. Investigation on application of a flat-plate heat pipe to cooling aeronautical electronics component[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2005.
25	李玉东. 半导体多级制冷性能组合优化设计[D]. 上海: 同济大学, 2007.
	Li Y D. Combined optimal design on performance of multi-stage semiconductor cooling[D]. Shanghai: Tongji University, 2007.
26	吴雷, 高明, 张涛, 等. 热电制冷的应用与优化综述[J]. 制冷学报, 2019, 40(6): 1-12.
	Wu L, Gao M, Zhang T, et al. Thermoelectric cooling application and optimization: a review[J]. Journal of Refrigeration, 2019, 40(6): 1-12.
27	李爱博. 单级半导体制冷器制冷特性分析及研究[D]. 武汉: 华中科技大学, 2011.
	Li A B. Analysis and study on cooling performance of single-stage thermoelectric cooling devices[D]. Wuhan: Huazhong University of Science and Technology, 2011.
28	王芳. 保温材料热导率影响因素试验研究[J]. 上海纺织科技, 2019, 47(6): 36-38.
	Wang F. Influencing factors of thermal conductivity of thermal insulation materials[J]. Shanghai Textile Science & Technology, 2019, 47(6): 36-38.
29	尹雨晨, 雷辉, 曾一兵, 等. 绝缘高辐射散热涂层配方设计及性能研究[J]. 涂料工业, 2016, 46(7): 7-11.
	Yin Y C, Lei H, Zeng Y B, et al. Formulation design and properties of insulating coating with high radiation and heat dissipation[J]. Paint & Coatings Industry, 2016, 46(7): 7-11.
30	刘志锴. 钛合金表面含铝复合氧化物涂层制备及其辐射防热性能研究[D]. 哈尔滨: 哈尔滨工业大学, 2018.
	Liu Z K. Preparation and radiation ability of aluminum contained composite oxides coatings on titanium alloys[D]. Harbin: Harbin Institute of Technology, 2018.

[1]	晁京伟, 许嘉兴, 李廷贤. 基于无管束蒸发换热强化策略的吸附热池的供热性能研究[J]. 化工学报, 2023, 74(S1): 302-310.
[2]	程成, 段钟弟, 孙浩然, 胡海涛, 薛鸿祥. 表面微结构对析晶沉积特性影响的格子Boltzmann模拟[J]. 化工学报, 2023, 74(S1): 74-86.
[3]	张双星, 刘舫辰, 张义飞, 杜文静. R-134a脉动热管相变蓄放热实验研究[J]. 化工学报, 2023, 74(S1): 165-171.
[4]	张义飞, 刘舫辰, 张双星, 杜文静. 超临界二氧化碳用印刷电路板式换热器性能分析[J]. 化工学报, 2023, 74(S1): 183-190.
[5]	陈爱强, 代艳奇, 刘悦, 刘斌, 吴翰铭. 基板温度对HFE7100液滴蒸发过程的影响研究[J]. 化工学报, 2023, 74(S1): 191-197.
[6]	刘明栖, 吴延鹏. 导光管直径和长度对传热影响的模拟分析[J]. 化工学报, 2023, 74(S1): 206-212.
[7]	王志国, 薛孟, 董芋双, 张田震, 秦晓凯, 韩强. 基于裂隙粗糙性表征方法的地热岩体热流耦合数值模拟与分析[J]. 化工学报, 2023, 74(S1): 223-234.
[8]	李科, 文键, 忻碧平. 耦合蒸气冷却屏的真空多层绝热结构对液氢储罐自增压过程的影响机制研究[J]. 化工学报, 2023, 74(9): 3786-3796.
[9]	齐聪, 丁子, 余杰, 汤茂清, 梁林. 基于选择吸收纳米薄膜的太阳能温差发电特性研究[J]. 化工学报, 2023, 74(9): 3921-3930.
[10]	李艺彤, 郭航, 陈浩, 叶芳. 催化剂非均匀分布的质子交换膜燃料电池操作条件研究[J]. 化工学报, 2023, 74(9): 3831-3840.
[11]	王玉兵, 李杰, 詹宏波, 朱光亚, 张大林. R134a在菱形离散肋微小通道内的流动沸腾换热实验研究[J]. 化工学报, 2023, 74(9): 3797-3806.
[12]	闫琳琦, 王振雷. 基于STA-BiLSTM-LightGBM组合模型的多步预测软测量建模[J]. 化工学报, 2023, 74(8): 3407-3418.
[13]	洪瑞, 袁宝强, 杜文静. 垂直上升管内超临界二氧化碳传热恶化机理分析[J]. 化工学报, 2023, 74(8): 3309-3319.
[14]	杨越, 张丹, 郑巨淦, 涂茂萍, 杨庆忠. NaCl水溶液喷射闪蒸-掺混蒸发的实验研究[J]. 化工学报, 2023, 74(8): 3279-3291.
[15]	陈天华, 刘兆轩, 韩群, 张程宾, 李文明. 喷雾冷却换热强化研究进展及影响因素[J]. 化工学报, 2023, 74(8): 3149-3170.