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A Fuzzy Neural Network Controller for Air-Condition with Frequency Change

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3 Author(s)
Zipeng Zhang ; Hubei Univ. of Technol., Wuhan ; Liqin Xue ; Shuqing Wang

The environment of room temperature is complicated and it is difficult to get precise mathematics model for the control of air-condition with frequency change. It is difficult using conventional PID or fuzzy control way to control air-condition to get good control performance. A new controller is designed to control air-condition based on fuzzy neural network in this paper. Controller parameters can be trained via neural network quickly in control. In order to improve learning speed and overcome the shortcoming of local optimization, designed learning parameters can be adjusted according to error and error change in training. So the designed controller has strong self-adapting character in controlling process. Simulating experiment shows that the designed controller has better controlling effect than other conventional PID or fuzzy controller.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:5 )

Date of Conference:

18-20 Oct. 2008