【作者】 马海峰； 李晨光； 唐涛；

【Author】 Ma Haifeng Li Chenguang Tang Tao ( Department of Communication and Control Engineering, Northern Jiaotong University, Beijing 100044 )

【机构】 北方交通大学通信与控制工程系；

【摘要】 本文对模糊控制和神经网络理论在列车运行安全控制(TASC)中的运用进行了研究．通过对TASC系统的分析,建立了模糊神经网络(FNN)控制模型;在此基础上,结合列车运行安全控制的实际情况,加入直控神经元,构造了直控模糊神经网络控制(ZFNN)模型来保证控制系统符合故障-安全原则。最后,以一列给定参数的货物列车为仿真对象,对ZFNN控制模型进行了仿真。更多还原

【Abstract】 This paper has researched the application of fuzzy control and neural networks theory on the train automatic safety control ( TASC ) system. After distinguishing the TASC system, the fuzzy nenral networks ( FNN ) model is established. On the basis of, some direct-control neurons are added to the FNN, and then a new FNN model is produced which is named as ZFNN. ZFNN can ensure fail-safe of the control system. At last, a complete simulation process is disposed which a ZFNN model is applied to a special train.更多还原