在FCS环境中神经网络模糊控制的研究

本文提出了在ＦＣＳ环境中的一种模糊控制方法，该方法采用了模糊ＩＦ．ＴＨＥＮ规则和数字数据两种方法进行学习在ＦＣＳ环境中，系统的正确性不但依赖于其计算出的逻辑结果，而且还依赖于该结果的计算时间。针对上述特征，提出了一种能够控制模糊输入矢量的神经网络体系结构，它将一个模糊输入矢量映射到其模糊输出中。

FUZZY CONTROL WITH THE NEURAL NETWORK METHOD IN FIELDBUS CONTROL SYSTEMS

The paper progresses the methods of fuzzy control for fieldbus control system (FCS) by neural networks.The correctness of FCS not only depends upon the logic results that are resolved by the system, but also depends up on the time deterministic of the results.In the methods,the fuzzy rules are utilized as well as numerical data.A neural network with the proposed architecture maps a fuzzy input vector to a fuzzy output.For the fuzzy control problems of FCS,a learning algorithm is derived from the fuzzy actual output and the fuzzy target output.The results of the studies well resolved the kind of control problems in FCS,because the field devices not only need the knowledge of the experts,but also need the experiences from the actual processes.