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Fuzzy Control Of Automatic Train Operation System

Shiuh‐Jer Huang, Shang-Lin Her

发表年份
1997
引用次数
14

摘要

AbstractThe automatic train operation (ATO) system is a subsystem of an automatic train control system that is widely adopted in modern rapid transit systems. The function of ATO system is to regulate train riding comfort and smoothness during start, acceleration, constant speed travel, and fixed-point parking under the corresponding commands. This paper describes the dynamic model of a public rapid transit system and a predictive fuzzy controller with fuzzy control rules based on the operation concepts of a skilled human operator. The fuzzy rules decision-making is based on the predictive evaluation of performance indices, which includes electric power cost, riding comfort of passengers, traceability of target speed, and accuracy of stop gap. The simulation results for a planned railway trade of Taipei city rapid transit system show that the control performance of this fuzzy ATO system is better than that of the conventional PID controller. Stop gap control of fuzzy ATO can be executed successfully without the assistance of additional marker coils and vehicle alignment equipment.Key Words: Automatic train operationrapid transit systemfuzzy control Additional informationNotes on contributorsShiuh-Jer HuangShiuh-Jer Huang received his B.Sc. degree from National Cheng-Kung University, Taiwan and his M.Sc. degree from Taiwan University, both in mechanical engineering, in 1978 and 1980, respectively. He received his Ph.D. degree in mechanical engineering from the University of California at Los Angeles in 1986. He is currently a Professor in the Department of Mechanical Engineering, National Taiwan Institute of Technology. His research interests are sytem control, mechatronics, factory automation, machine tool control and robotic systems.Shang-Lin HerShang-Lin Her received his B.Sc. and M.Sc. degrees in mechanical engineering from National Taiwan Institute of Technology, Taiwan, in 1990 and 1993, respectively. Since 1991 he has worked as an engineer at the department of Taipei Rapid Transit, Taiwan.

关键词

Fuzzy control systemAutomatic controlFuzzy logicControl systemComputer scienceEngineeringControl engineeringControl (management)Artificial intelligence

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