Normal PID controller can’t online adjust parameters, when object exists structure nonlinearity, parameter time-variation or model indeterminacy, it is more difficult in adjusting parameters, and optimal parameters are inclined to drift. This article uses VAV rooms as research objects, adopting fuzzy control and PID control to compose fuzzy self-adjustment PID controller, and makes use of parameters of PID controller with fuzzy controller online adjusting to process large numbers of emulate research, and further using in fact control.
Li Ping, Li Feng, Zhao Hu, Ju Zipei. 2002. The Design and Simulation of Fuzzy Self-adjustment PID Controller. Journal of Apparatus and Instrument.
Liu Jinkun. 2004. Advanced PID Control and Matlab Simulation. Beijing Publishing House of Electronics Industry.
HU Yixiong, YUAN Feng, ZHANG Liping. 2002. Study on Fuzzy Control Design in VAV Terminal Unit. Journal of Changsha Railway University. Val 20. December.
Wu Aiguo, Gao Deyun. 1999. Intelligent Control in VAV Systems. Journal of Refrigeration.
LI HUI, Duang Chenxu. 2005. Performance Analysis of Vav Terminals. Journal of Shandong University of Architecture and Engineering.
How to cite this article
Cai, B., Li, D. and Liu, W. (2005). 'Fuzzy Control Used in VAV System'. SET Proceedings, 4(1), pp. 134-137. https://doi.org/10.65582/set.2005.029