Decoupling Quantification of Thermal Disturbances and Optimization of Control Method for Solar Radiation-High Temperature Coupling Test in Climate Laboratory

MENG Shujun; REN Zhanpeng; WU Xiangfu; ZHANG Chenglin

doi:10.7643/issn.1672-9242.2026.08.005

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (8) : 35-44. DOI: 10.7643/issn.1672-9242.2026.08.005

Special Topic——Comprehensive Environmental Strength Analysis and Testing Technology for Equipment

Decoupling Quantification of Thermal Disturbances and Optimization of Control Method for Solar Radiation-High Temperature Coupling Test in Climate Laboratory

MENG Shujun, REN Zhanpeng, WU Xiangfu, ZHANG Chenglin

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Abstract

The work aims to suppress temperature deviations caused by strongly coupled multi-source thermal disturbances and control delay during solar radiation-high temperature coupled tests in ultra-large climate laboratories, and solve the defect that the fixed-gain feedforward cascade PID control is difficult to compensate for the heat storage and release of thermal inertia components and the transient impact of radiation, so as to meet the ±2 ℃ temperature control accuracy specified in GJB 150.7A. A multi-source thermal disturbance quantification and dynamic feedforward compensation method based on dual spatiotemporal decoupling (i.e., disturbance component separation via comparative testing and multi-time-scale decomposition) was proposed. First, the generation mechanism of multi-source thermal disturbances was analyzed, and dynamic characteristics and nonlinear coupling of baseline steady disturbance, fast transient radiative disturbance and local slow-varying disturbance were characterized. Three comparative tests, including single-temperature test, single-irradiance test and coupled temperature-irradiance test, were designed to separate cross-coupling effects. Time-varying baseline disturbance curves were established, and transient response parameters of radiation disturbances were extracted. On this basis, a dynamic feedforward compensation model was built via decoupling quantification. Experimental verification proves the validity of the linear superposition principle for such large-scale test facilities. The proposed control strategy effectively suppresses disturbance-induced temperature fluctuations and realizes rapid tracking of target temperature curves. This optimization strategy significantly enhances the worthiness of the temperature control system to multi-source disturbances. The temperature control accuracy of coupled tests reaches within ±1.5 ℃.

Key words

climate laboratory / solar radiation-high temperature coupling test / multi-source thermal disturbance / dynamic feedforward compensation / comparative testing

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MENG Shujun, REN Zhanpeng, WU Xiangfu, ZHANG Chenglin. Decoupling Quantification of Thermal Disturbances and Optimization of Control Method for Solar Radiation-High Temperature Coupling Test in Climate Laboratory[J]. Equipment Environmental Engineering. 2026, 23(8): 35-44 https://doi.org/10.7643/issn.1672-9242.2026.08.005

References

[1] 成竹, 李喜明. 飞机气候试验[M]. 北京: 航空工业出版社, 2021: 27-34.
CHENG Z, LI X M.Aircraft Climate Test[M]. Beijing: Aviation Industry Press, 2021: 27-34.
[2] 张昭, 唐虎, 成竹. 军用飞机实验室气候环境试验项目分析[J]. 装备环境工程, 2017, 14(10): 87-91.
ZHANG Z, TANG H, CHENG Z.Laboratory Climatic Test Items of Military Aircraft[J]. Equipment Environmental Engineering, 2017, 14(10): 87-91.
[3] 李冬梅, 吴相甫, 吴敬涛, 等. 大型气候实验室温度环境控制及其实现[J]. 测控技术, 2021, 40(8): 101-104.
LI D M, WU X F, WU J T, et al.Temperature Environment Control and Its Realization in Climatic Environment Test Laboratory[J]. Measurement & Control Technology, 2021, 40(8): 101-104.
[4] 孟庆龙, 王元, 李彦鹏. 微气候环境模拟实验室用温度控制系统设计[J]. 控制工程, 2015, 22(1): 170-175.
MENG Q L, WANG Y, LI Y P.Temperature Controller Design for Environment Simulation Laboratory[J]. Control Engineering of China, 2015, 22(1): 170-175.
[5] 王彬文, 吴敬涛, 吴相甫. 基于试验热负荷补偿的气候实验室温度控制方法研究[J]. 应用力学学报, 2023, 40(1): 16-24.
WANG B W, WU J T, WU X F.Research on the Temperature Control Method of Climatic Laboratory Based on the Test Thermal Load Compensation[J]. Chinese Journal of Applied Mechanics, 2023, 40(1): 16-24.
[6] 国防科学技术工业委员会. 军用装备实验室环境试验方法第3部分:高温试验: GJB 150.3A—2009[S]. 北京: 总装备部军标出版发行部, 2009.
Commission of Science Technology and Industry for National Defense. Laboratory Environmental Test Methods for Military Materiel—Part 3: High Temperature Test: GJB 150.3A—2009[S]. Beijing: General Armament Department Military Standard Publishing Department, 2009.
[7] 国防科学技术工业委员会. 军用装备实验室环境试验方法第7部分:太阳辐射试验: GJB 150.7A—2009[S]. 北京: 总装备部军标出版发行部, 2009.
Commission of Science Technology and Industry for National Defense. Laboratory Environmental Test Methods for Military Materiel—Part 7: Solar Radiation Test: GJB 150.7A—2009[S]. Beijing: General Armament Department Military Standard Publishing Department, 2009.
[8] 秦杰, 吴鹏, 陈晖, 等. GJB 150.7A军用太阳辐射试验标准存在的问题探讨[J]. 环境技术, 2023, 41(12): 169-175.
QIN J, WU P, CHEN H, et al.GJB 150.7A the Problems of Military Solar Radiation Test Standard[J]. Environmental Technology, 2023, 41(12): 169-175.
[9] 马建军, 姜亚军. 大型气候实验室气流组织仿真分析[J]. 装备环境工程, 2019, 16(11): 56-63.
MA J J, JIANG Y J.Airflow Distribution for Large Climatic Test Laboratory[J]. Equipment Environmental Engineering, 2019, 16(11): 56-63.
[10] WU X F, WU J T, MENG S J.Study of Temperature Control Method for Large Space Climatic Laboratory[C]//2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). Chongqing: IEEE, 2020: 1696-1699.
[11] 杜文辉, 吴敬涛, 任战鹏, 等. 气候实验室环境场动态平衡调控技术研究[J]. 测控技术, 2024, 43(2): 67-73.
DU W H, WU J T, REN Z P, et al.Study on the Dynamic Balance Control Technology of Environmental Field in Climate Laboratory[J]. Measurement & Control Technology, 2024, 43(2): 67-73.
[12] 李可, 庞丽萍, 刘旺开, 等. 环境模拟舱体的建模仿真及控制方法[J]. 北京航空航天大学学报, 2007, 33(5): 535-538.
LI K, PANG L P, LIU W K, et al.System Model Simulation and Control Method Used in Environmental Simulation Chambers[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(5): 535-538.
[13] 张鼎威. 小型海洋环境模拟实验舱温度检测与控制系统研究[D]. 济南: 山东大学, 2020.
ZHANG D W.Research on Temperature Detection and Control System of Small Marine Environment Simulation Experimental Cabin[D]. Jinan: Shandong University, 2020.
[14] 张俊楠, 袁玉华, 武玉玉. 装备实验室模拟高温与太阳辐射综合环境方法研究[J]. 强度与环境, 2024, 51(6): 64-68.
ZHANG J N, YUAN Y H, WU Y Y.Research on the Method of Laboratory Simulation of High-Temperature and Solar Radiation Comprehensive Environment for Equipment[J]. Structure & Environment Engineering, 2024, 51(6): 64-68.
[15] 高琳, 刘惠丽, 刘坤, 等. 军用车辆太阳辐射热效应模拟试验室设计[J]. 装备环境工程, 2024, 21(6): 8-15.
GAO L, LIU H L, LIU K, et al.Design of Solar Radiation Heating Simulation Laboratory of Military Vehicles[J]. Equipment Environmental Engineering, 2024, 21(6): 8-15.
[16] 雷凯, 任战鹏, 李玄, 等. 7075铝合金板自然环境太阳辐射热效应及影响因素分析[J]. 装备环境工程, 2023, 20(6): 155-161.
LEI K, REN Z P, LI X, et al.Thermal Effect and Influencing Factors Analysis of 7075 Aluminum Alloy Plates in Natural Solar Radiation[J]. Equipment Environmental Engineering, 2023, 20(6): 155-161.
[17] 秦杰, 张清点, 孔玉梅, 等. GJB 150.7A—2009太阳辐射试验方法研究与分析[J]. 电子产品可靠性与环境试验, 2024, 42(5): 127-134.
QIN J, ZHANG Q D, KONG Y M, et al.Study and Analysis of GJB 150.7A—2009 Solar Radiation Test Method[J]. Electronic Product Reliability and Environmental Testing, 2024, 42(5): 127-134.
[18] 吴相甫, 徐健. 基于阶跃响应曲线特征的线性系统辨识方法研究[J]. 测控技术, 2019, 38(5): 127-133.
WU X F, XU J.Study on Identification Method for Linear System Based on the Feature of Step Response Curve[J]. Measurement & Control Technology, 2019, 38(5): 127-133.
[19] ABUSEADA M, OZALP N.Experimental and Numerical Study on Heat Transfer Driven Dynamics and Control of Transient Variations in a Solar Receiver[J]. Solar Energy, 2020, 211: 700-711.
[20] ZHANG S L, ZHANG N, ZHENG Y, et al.Optimal Design and Application Research of Cross-Compensation Control Technology for Thermal Tests[C]//Proceedings of 2025 5th International Conference on Machine Manufacturing and Intelligent Control (ICMMIC). Tianshui: IEEE, 2025.
[21] LIU C, XIAO J C, MA K J, et al.Experimental and Numerical Investigation on the Temperature Field and Effects of a Large-Span Gymnasium under Solar Radiation[J]. Applied Thermal Engineering, 2023, 225: 120169.
[22] BLUMENFELD P, BOCA A, SHARPS P, et al.Thermal Design for High-Temperature High-Irradiance Testing of Space Solar Panel Components[C]//2013 IEEE 39th Photovoltaic Specialists Conference (PVSC). Tampa: IEEE, 2013.
[23] KATAKUMBURA N, PATEL A P, ABASS M, et al.Irradiance and Temperature Control Chamber for Testing Solar Cell Performance[C]//Proceedings of 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). Fort Lauderdale: IEEE, 2021.
[24] 刘明闯. 机舱温度场仿真与保温系统设计[D]. 哈尔滨: 哈尔滨工业大学, 2021.
LIU M C.Temperature Field Simulation of the Cabin and Development of the Thermal Insulation System[D]. Harbin: Harbin Institute of Technology, 2021.
[25] LIU J S, WANG X, LIU X, et al.Μ-Synthesis Control with Reference Model for Aeropropulsion System Test Facility under Dynamic Coupling and Uncertainty[J]. Chinese Journal of Aeronautics, 2023, 36(10): 246-261.
[26] 冉育强, 李军, 杨军. 基于PLC的环境模拟系统温度控制算法的研究与实现[J]. 计算机测量与控制, 2015, 23(10): 3377-3380.
RAN Y Q, LI J, YANG J.Research and Implementation of Temperature Control Algorithm for Environment Simulation System Based on PLC[J]. Computer Measurement & Control, 2015, 23(10): 3377-3380.
[27] LIU J S, HE A, PEI X T, et al.Feedforward Compensation-Based L1 Adaptive Control for Aeropropulsion System Test Facility and Hardware-in-the-Loop Verification[J]. Chinese Journal of Aeronautics, 2025, 38(3): 103386.