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. © 2012 IFIP International Federation for Information Processing.
CITATION STYLE
Cai, W., Zhu, S., He, H., Ye, Z., & Zhu, F. (2012). Research on decoupling control in temperature and humidity control systems. In IFIP Advances in Information and Communication Technology (Vol. 368 AICT, pp. 79–89). https://doi.org/10.1007/978-3-642-27281-3_11
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