黑花阁, 李潇雁, 李璐芳, 蔡萍, 陈凡胜. 星载黑体高精度集成化温控系统设计[J]. 红外与激光工程, 2023, 52(7): 20220852. DOI: 10.3788/IRLA20220852
引用本文: 黑花阁, 李潇雁, 李璐芳, 蔡萍, 陈凡胜. 星载黑体高精度集成化温控系统设计[J]. 红外与激光工程, 2023, 52(7): 20220852. DOI: 10.3788/IRLA20220852
Hei Huage, Li Xiaoyan, Li Lufang, Cai Ping, Chen Fansheng. Design of high-precision integrated temperature control system of spaceborne blackbody[J]. Infrared and Laser Engineering, 2023, 52(7): 20220852. DOI: 10.3788/IRLA20220852
Citation: Hei Huage, Li Xiaoyan, Li Lufang, Cai Ping, Chen Fansheng. Design of high-precision integrated temperature control system of spaceborne blackbody[J]. Infrared and Laser Engineering, 2023, 52(7): 20220852. DOI: 10.3788/IRLA20220852

星载黑体高精度集成化温控系统设计

Design of high-precision integrated temperature control system of spaceborne blackbody

  • 摘要: 随着航天红外技术向高定量化、高集成化方向的发展,传统基于CPU或DSP的黑体测控温系统无法满足高集成化和高精度的需要。针对上述问题,设计了基于FPGA的星载黑体高精度集成温控系统。该系统以FPGA为核心控制单元进行温度采集和控制,实现多功能高速并行处理。黑体测温模块采用三线制惠斯通电桥减小导线电阻影响,然后在信号调理部分采用集成运算放大器组成的三级有源滤波和放大实现了对电气输出的低噪声放大。与传统仪用放大器加无源滤波的信号调理方式相比,该方法具有更强的干扰抑制能力。同时,对铂电阻阻值与温度的非线性误差以及测温系统电路误差,提出了基于多项式模型及最小二乘理论的分级拟合校正方法,进一步提高了测温精度。控温模块采用新型模糊控制和增量式PID(FIPID)结合减小过冲,加快收敛速度。基于精密标准电阻的实测结果表明该系统测温精度在247~375 K范围内为0.035 K,比校正前精度0.383 K提高了90.9%。控温仿真实验表明与PID控温相比,FIPID的过冲为零,而PID算法有12.4%的过冲,且收敛速度提高了64%。地面热真空和在轨实际控温实验表明在256~367 K范围内实测控温精度为0.039 K,该方法已成功应用于某型号空间红外相机,且满足在轨高精度定标要求。该系统具有测控温精度高、动态范围大、易于集成化的优点,可推广应用于星上其他高精度主动温控。

     

    Abstract:
      Objective   As space infrared technology advances towards high quantification, higher requirements are demanded for the precision of blackbody temperature control. Simultaneously, as spacecraft functionality becomes more complex, integrated design is necessary to reduce power consumption and weight. Traditional blackbody temperature control systems based on CPU or DSP are unable to meet the demands of high integration and high precision. To address this issue, this paper presents the design of a high-precision temperature control system for on-board blackbodies based on FPGA.
      Methods   Temperature acquisition and control are performed using an FPGA as the core control unit, enabling multifunctional high-speed parallel processing. The blackbody temperature measurement module adopts a three-wire Wheatstone bridge to minimize the influence of wire resistance. In the signal conditioning section, a three-stage active filtering and amplification, composed of integrated operational amplifiers, is employed to achieve low-noise amplification of the electrical output. Compared to traditional instrumentation amplifiers combined with passive filtering, this method exhibits stronger interference suppression capabilities. Additionally, to address the non-linear error between platinum resistor resistance and temperature, as well as circuit errors in the temperature measurement system, a hierarchical fitting correction method based on polynomial models and least squares theory is proposed to further improve temperature measurement accuracy. The temperature control module incorporates a novel fuzzy control and incremental PID (FIPID) combination to reduce overshoot, accelerate convergence speed, and achieve high-precision temperature control.
      Results and Discussions   Based on the measurement results using precision standard resistors, the temperature measurement accuracy of the system within the range of 247-375 K is 0.035 K, which is a 90.9% improvement compared to the uncorrected accuracy of 0.383 K (Tab.4). Temperature control simulation experiments demonstrate that compared to PID control, the FIPID algorithm achieves zero overshoot, while the PID algorithm has a 12.4% overshoot. Furthermore, the FIPID algorithm exhibits a 64% improvement in convergence speed (Fig.6). Ground thermal vacuum and on-orbit temperature control experiments indicate that the measured temperature control accuracy within the range of 256-367 K is 0.039 K, with a steady-state deviation not exceeding 0.018 K, and a temperature rise stabilization time of less than 10 minutes for a 10 K increase (Tab.5-6).
      Conclusions   Traditional blackbody temperature control systems based on CPU or DSP cannot meet the requirements for high integration and high precision. To address this issue, this paper presents the design of a high-precision integrated temperature control system for on-board blackbodies based on FPGA. The approach uses a three-wire Wheatstone bridge to minimize the influence of wire resistance and introduces three-stage active filtering and amplification to improve the system's interference suppression capabilities. To mitigate temperature measurement errors, a hierarchical fitting correction method based on polynomial models and least squares theory is proposed. Additionally, a novel fuzzy control PID temperature control algorithm is introduced in the temperature control module to achieve high-precision temperature control. Experimental results demonstrate that the temperature measurement accuracy of the system is 0.035 K, which is a 90.9% improvement compared to the pre-optimized accuracy. Temperature control simulation experiments show that this method achieves a 64% improvement in convergence speed compared to traditional PID control, with zero overshoot, while the PID algorithm exhibits a 12.4% overshoot. Ground thermal vacuum and on-orbit temperature control experiments indicate that the measured temperature control accuracy within the range of 256-367 K is 0.039 K, meeting the requirements for on-orbit high-precision calibration and high integration. The system has been successfully applied to an on-orbit infrared camera of a specific model. The system possesses the advantages of high temperature measurement and control accuracy, wide dynamic range, and ease of integration, making it suitable for widespread application in other high-precision active temperature control systems in space.

     

/

返回文章
返回