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專家能力的模糊神經網自組織控制器

A New Kind of Self-organization Fuzzy Controller Based on Neural Network with Expert Adjusting Ability

  • 摘要: 為實現酒精發酵變溫控制,提出一種新的、具有專家調整策略的神經網絡自組織模糊控制器.用神經網絡代替傳統模糊控制器的邏輯規則推理合成運算或查表,減少了工作量.采用一種對量化,比例因子進行專家調整的策略,使系統響應的上升時間減少,超調量降低,控制器的魯棒性,穩定性均良好.

     

    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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