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HEATING CONTROL OF HEATED TWIN RADIOSONDE HUMIDITY SENSOR BASED ON DMC

Abstract

In order to effectively solve condensation and icing problems of radiosonde in low-temperature environment at high altitude, humidity sensor heated automatic alternately to remove pollution and improve the measurement accuracy. Heat experiments obtained the curve of rising temperature and responsible time on heated twin humidity sensor in normal temperature and pressure, by expanded responsible curve to obtain heated model of twin heated humidity sensor and by the analysis of heating model, use DMC and PID control for heating respectively. Simulation results show that the DMC control meets the practical requirements of measure at high altitude.

Keywords:

DMC, twin heated humidity sensor, expanded responsible curve, Heating Control

Details

Issue
Vol. 23 No. S1(91) (2016)
Section
Latest Articles
Published
16-11-2016
DOI:
https://doi.org/10.1515/pomr-2016-0046
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • SUN Ning

    Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, School of Information and Control, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters
  • ZHANG Ying-chao

    Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, School of Information and Control, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters
  • ZHANG Wei-guo

    Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education
  • CHENG En-lu

    Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education
  • LIU Yun-ping

    Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, School of Information and Control, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters

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