ISSN: 1003-6326
CN: 43-1239/TG
CODEN: TNMCEW

Vol. 7    No. 1    March 1997

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DIRECT FUZZY NEURAL CONTROL FOR TRAIN TRAVELING PROCESS
Wang Jing1; Cai Zixing1; Jia Limin2
(1.Research Center for Intelligent Control; Central South University of Technology; Changsha 410083 ;
2.Signal & Communication Research Institute; China Academy of Railway Sciences; Beijing 100081
)
Abstract: A novel methodology to realize the automatic train operation is proposed based on a direct fuzzy neural control scheme that is functionally equivalent to the conventional fuzzy controller. Firstly, the structure, train pattern coding method and inference criteria of the proposed fuzzy neural controller were described in details. Then, based on the idea of process partition of complex process, the mathematics description of train traveling process was provided. Finally, a group of simulation results for train traveling process was compared with the human driver's control. The results have demonstrated the effectiveness of the proposed approach.
Key words: ATO(automatic train operation) fuzzy controller train traveling process process partition
Superintended by The China Association for Science and Technology (CAST)
Sponsored by The Nonferrous Metals Society of China (NFSOC)
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