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System model simulation and low-temperature control strategy in environmental simulation cabins of airliner

  • Ke Li*
  • , Wangkai Liu
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the structure and the characteristics of temperature control system of high altitude environmental simulation cabin are studied. In conventional approaches for temperature control of environmental simulation cabin, it is difficult to increase cooling rate and improve control precision, simultaneously. To overcome this difficulty, a lumped parameter model of low-temperature control system is established with the consideration of the dynamic-state characteristics of the environmental simulation cabin. A no-overshoot Expert PID Control method is integrated into the design of the temperature control system, which is simulated on the platform of MATLAB. By contrasting the simulated results with the experimental data, the validation of the lumped parameter model has been proved. Also, the Expert PID Control method has been demonstrated with the advantages of no-overshoot, fast response, high precision and great efficiency. The proposed methods for the simulation and the control system could be of help to the research on the control laws of environmental simulation cabin low-temperature control system.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
DOIs
StatePublished - 2009
Event2009 International Conference on Information Engineering and Computer Science, ICIECS 2009 - Wuhan, China
Duration: 19 Dec 200920 Dec 2009

Publication series

NameProceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

Conference

Conference2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
Country/TerritoryChina
CityWuhan
Period19/12/0920/12/09

Keywords

  • Environmental cabin
  • Expert system
  • Mathematical model
  • Simulation
  • Temperature control

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