A New Kind of Self-organization Fuzzy Controller Based on Neural Network with Expert Adjusting Ability
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Abstract
In order to realize the optimal control of temperature in the process of alcohol ferment, a new kind of self-organization fuzzy controller based on neural network with expert adjusting ability is proposed.The system mathematics model is not necessary in the new controller, which can reduce the influence of system paramenters.The quantization factors and the proportion factors are regulated automatically by expert system. The reasoning method of traditional fuzzy controller is replaced by the neural network method which can improve the real-time dynamic performance. The simulation experiment on the new controller is carried out. The results show that the new controller has better robustness, stability and precision.
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