甲醇转化炉系统的模糊神经网络控制方法

2009 International Conference on Computer and Communications Security Pub Date : 2009-12-05 DOI:10.1109/ICCCS.2009.46

Song Shanshan, Jiang Moyi, Song Zhiyong

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引用次数: 0

摘要

针对甲醇转化炉系统存在的大时滞、时变、非线性等特点，将模糊控制与神经网络控制相结合，设计了一套模糊神经网络控制系统。通过MATLAB仿真测试，该系统应用于甲醇转化炉系统的大时滞控制，与传统的PID控制相比，具有鲁棒性强、响应速度快、适应性强等特点。

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The Control Method of Fuzzy Neural Network in Methanol Transforming Furnace System

Furnace system for the methanol conversion into the large time delay, time-varying, nonlinear and other characteristics, combination of fuzzy control and neural network control, design a set of fuzzy neural network control system. Through MATLAB simulation test, the system applied to large time delay control of the methanol conversion furnace system, compared with the traditional PID control, has strong robustness, fast response, adaptability and so on.

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来源期刊

2009 International Conference on Computer and Communications Security

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