• Journal of the Korean Society for Railway
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• v.9 no.3 s.34
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• pp.282-290
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• 2006

In the current train operation system, large scaled stations like Cheongnyangni and Yongsan are not remote controlled from the central operator but manually by local operator. It is because there are so many entering and exit of trains between depot and mainline which are operating through the large scaled stations and it is very effective to traffic flow on the mainline. Therefore, Kyong Bong Technology Co., Ltd. (KBTech) and Korea Railway Research Institute (KRRI) are continuing the research and development to import 'Autonomous Decentralized System (ADS)'as part of a new train operation control system which is a national policy project of MOCT (Ministry Of Construction & Transportation). The concept of the 'Autonomous Decentralized System (ADS)' has born in 1970's in Japan by the influences of molecular biology. The special features of ADS are being a system that able to do the online expansion, online maintenance and fault tolerance. This thesis introduces the concept of technology of ADS and also describes the system designing & development to apply with large scaled stations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.211-217
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• 1998

Many practical control problems for the complex, uncertain or large-scale plants, need to simultaneously achieve a number of objectives, which may conflict or compete with each other. If the conventional optimization methods are applied to solve these control problems, the solution process may be time-consuming and the resulting solution would ofter lose its original meaning of optimality. Nevertheless, the human operators usually performs satisfactory results based on their qualitative and heuristic knowledge. In this paper, we investigate the control strategies of the human operators, and propose a fuzzy model-based multi-objective satisfactory controller. We also apply it to the automatic train operation(ATO) system for the magnetically levitated vehicles(MAGLEV). One of the human operator's strategies is to predict the control result in order to find the meaningful solution. In this paper, Takagi-Sugeno fuzzy model is used to simulated the prediction procedure. Another str tegy is to evaluate the multiple objectives with respect to their own standards. To realize this strategy, we propose the concept of a satisfactory solution and a satisfactory control scheme. The MAGLEV train is a typical example of the uncertain, complex and large-scale plants. Moreover, the ATO system has to satisfy multiple objectives, such as seed pattern tracking, stop gap accuracy, safety and riding comfort. In this paper, the speed pattern tracking controller and the automatic stop controller of the ATO system is designed based on the proposed control scheme. The effectiveness of the ATO system based on the proposed scheme is shown by the experiments with a rotary test bed and a real MAGLEV train.