探空温度传感器设计与辐射误差修正方法研究
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摘要
针对太阳辐射影响探空温度传感器测量精度的问题,设计一种基于24位Σ-Δ模/数转换器的高精度温度测量电路。搭建太阳辐射模拟实验平台并在高低温低气压实验箱中进行实验,提出一种利用Levenberg-Marquardt(L-M)算法拟合出太阳辐射误差修正方程的方法。实验结果表明,该探空温度传感器及其算法将均方根误差从0.88℃降低至0.28℃,提高了探空温度传感器的测量精度,在高空气象探测领域具有一定的应用潜力。
In allusion to the problem that the solar radiation affects the measurement accuracy of the sounding temperature sensor,a high-precision temperature measurement circuit based on the 24-bit Σ-Δ analog-digital converter(ADC)is designed.An experimental platform is established for solar radiation simulation,and a high-temperature,low-temperature and low-pressure experimental box is used to conduct the experiment. A method of using the Levenberg-Marquardt(L-M)algorithm to fit out the solar radiation error correction equation is proposed. The experimental results show that the sounding temperature sensor and its algorithm can reduce the mean square root error from 0.88 ℃ to 0.28 ℃,and improve the measurement accuracy of the sounding temperature sensor,which have a certain application potential in the high-altitude meteorological sounding field.
In allusion to the problem that the solar radiation affects the measurement accuracy of the sounding temperature sensor,a high-precision temperature measurement circuit based on the 24-bit Σ-Δ analog-digital converter(ADC)is designed.An experimental platform is established for solar radiation simulation,and a high-temperature,low-temperature and low-pressure experimental box is used to conduct the experiment. A method of using the Levenberg-Marquardt(L-M)algorithm to fit out the solar radiation error correction equation is proposed. The experimental results show that the sounding temperature sensor and its algorithm can reduce the mean square root error from 0.88 ℃ to 0.28 ℃,and improve the measurement accuracy of the sounding temperature sensor,which have a certain application potential in the high-altitude meteorological sounding field.
引文
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[3]任国玉,任玉玉,李庆祥,等.全球陆地表面气温变化研究现状、问题和展望[J].地球科学进展,2014,29(8):934-946.REN Guoyu,REN Yuyu,LI Qingxiang,et al. An overview on global land surface air temperature change[J]. Advances in earth science,2014,29(8):934-946.
[4]王荣英,周顺武,吴萍,等.近30年华北地区高空气温时空演变特征[J].气象与环境科学,2010,33(4):31-37.WANG Rongying,ZHOU Shunwu,WU Ping,et al. Temporal and spatial characteristic about upper temperature over the last30 years in North China[J]. Meteorological and environmental sciences,2010,33(4):31-37.
[5] World Meteorological Organization. Guide to meteorological instruments and methods of observation[M]. 7th ed. Geneva:World Meteorological Organization,2008.
[6]李波,陈光华,徐行,等.基于热敏电阻的多通道高精度温度测量系统[J].仪表技术与传感器,2008(5):87-88.LI bo,CHEN Guanghua,XU Xing,et al. Multi-channel high precision temperature measurement system based on NTCR[J].Instrument technique and sensor,2008(5):87-88.
[7]范寒柏,谢汉华.基于NTC热敏电阻的三种高精度测温系统研究[J].传感技术学报,2010,23(11):1576-1579.FAN Hanbai,XIE Hanhua. Study on three high-precision temperature measurement systems based on NTC thermistor[J].Chinese journal of sensors and actuators,2010,23(11):1576-1579.
[8] SARKAR A R,DEY D,MUNSHI S. Linearization of NTC thermistor characteristic using Op-Amp based inverting amplifier[J]. IEEE sensors journal,2013,13(12):4621-4626.
[9]周悦,刘清惓,杨杰,等.一种阵列式探空温度传感器设计[J].传感技术学报,2016,29(8):1297-1304.ZHOU Yue,LIU Qingquan,YANG Jie,et al. Design of an array-based sounding temperature sensor[J]. Chinese journal of sensors and actuators,2016,29(8):1297-1304.
[10]史忠植.神经网络[M].北京:高等教育出版社,2009.SHI Zhongzhi. Neural networks[M]. Beijing:Higher Education Press,2009.
[11]盛洪江,毛建东,李学生,等.基于Levenberg-Marquardt算法的直流电感器电感参量估计[J].电力自动化设备,2016,36(5):171-175.SHENG Hongjiang,MAO Jiandong,LI Xuesheng,et al. Inductance parameter estimation based on Levenberg-Marquardt algorithm for DC inductor[J]. Electric power automation equipment,2016,36(5):171-175.
[12] ZHANG R,LI L,CHEN Z,et al. Calculation of phase equilibria based on the Levenberg-Marquardt method[J]. Journal of materials science&technology,2005,21(1):10-12.
[13]赵弘,周瑞祥,林廷圻.基于Levenberg-Marquardt算法的神经网络监督控制[J].西安交通大学学报,2002,36(5):523-527.ZHAO Hong,ZHOU Ruixiang,LIN Tingqi. Neural network supervised control based on Levenberg-Marquardt algorithm[J]. Journal of Xi’an Jiaotong University,2002,36(5):523-527.