Research on Decoupling Control in Temperature and Humidity Control Systems

  • Weiming Cai
  • Songming Zhu
  • Huinong He
  • Zhangying Ye
  • Fang Zhu
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 368)


Temperature and humidity are two highly coupled variables in a control system, which need to be decoupled for effective control. Moreover, the coupling problem may get more severe and the two control loops may produce a strong interference to each other that can cause system instability when the humidity is measured by dry-and-wet bulb method. In this study, a control method based on fuzzy-neural-network was studied for solving the coupling problem. The shape of membership function can be adjusted in time by using a wavelet basis as the fuzzy membership function. An effective real-time decoupling control system for temperature and humidity could be realized by neural network fuzzy inference. Decoupling control tests were conducted in a control room with 1.6 m × 1.0 m × 4.0 m. The results show that the performance of the control system on dynamic response speed, stability, and anti-jamming have been improved after decoupling.


Dry-and-wet Bulb Method Coupling Problems Fuzzy Neural Network Wavelet Basis Temperature and Humidity 


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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Weiming Cai
    • 1
  • Songming Zhu
    • 1
  • Huinong He
    • 1
  • Zhangying Ye
    • 1
  • Fang Zhu
    • 1
  1. 1.College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhouChina

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