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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

Chen Ming
Chen Ming
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In view of the characteristics of the mixture ratio process of blast furnace gas and charry furnace gas and the requirements of metallurgical industry for the mixed gas pressure and the double stability of calorific value as well as the theoretical basic knowledge and the development of intelligent fuzzy control and neural network control, the neural network fuzzy control which is formed by the combination of intelligent fuzzy control and neural network control has been applied in the decoupling control of mixed gas in this paper. At the same time, the fuzzy rule base has been established and the neuron decoupling controller has been designed. The control effect is verified through employing the Matlab simulation toolbox. The results have shown that this control method has significantly improved the control accuracy and reduced the fluctuations of pressure and calorific value, which has met the requirements of production.

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