Control Algorithms of Fuzzy Neural Network and Their Application in Automatic Train Control
This paper has proposed an integrated intelligent control method which using neural network and fuzzy system for subway train operation process. A fuzzy controlled BP neural network (FBP) is used for constant speed control before the stopping point. A fuzzy neural network (FNN) is used for automatic stopping control. The intelligent control algorithms of FBP network and FNN are described in details. In addition, simulation results are given and compared with the traditional P1D control and fuzzy control. The simulation results are satisfactory and have demonstrated the effectiveness of the proposed approach. The results indicate it is feasible for automatic train operation based on neural network, fuzzy system and other computation intelligence technology. The method can obtain quite good comfortbility, stopping accuracy, and has the characteristics of high accuracy, adaptability, and robustness.
Wu Yan Zhang Liming
Department of Computer Science and Engineering Tongji University Shanghai 200331 P R China;Departmen Department of Electric Engineering Fudan University Shanghai, 200433 P R China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
989-994
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）