Heating control of heated twin radiosonde humidity sensor based on DMC

• Autorzy: Sun N. , Zhang Y.-C. , Zhang W.-G. , Cheng E.-L. , Liu Y.-P.
• Języki publikacji: EN

Abstrakty

EN

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

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2016
• Tom: 23
• Numer: Special Issue S1
• Opis fizyczny: p.52-58,fig.,ref

Twórcy

autor

Sun N.

• Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
• School of Information and Control, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing210044, China

autor

Zhang Y.-C.

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

autor

Zhang W.-G.

• Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China

autor

Cheng E.-L.

• Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China

autor

Liu Y.-P.

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

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Identyfikatory

DOI

10.1515/pomr-2016-0046