Shoji Miyamoto

FUZZY CONTROL FOR AUTOMATIC TRAIN OPERATION SYSTEM

A fuzzy control that uses rules based on a skilled human operators experience is applied to automatic train operations. Essentially, train operation is a nonlinear control function. Up to now, this system has been developed by linearlized control using a target pattern. However, it was difficult to control the train in a manner similar to a human operator. In this paper, a fuzzy control which uses linguistical control rules is proposed. Furthermore, an automatic train operation system which evaluates safety, comfort, traceability of target velocity, and the accuracy of a stop gap has been developed. According to the result of the simulation, our newly developed automatic control system having the fuzzy control realizes a comfortable and accurate stop control, and its control rules are easy to understand and are connected to the performance indices. Therefore, system performance can be directly adjusted as desired.

A track correlation algorithm for multi-sensor integration

A track correlation algorithm in a multi-sensor integration system for a surveillance mission is proposed. The performance of such track correlation processing is strongly dependent not only on the target state estimation error distribution but also on the target spatial density distribution. Therefore, a track correlation problem is formulated as the likelihood ratio test problem which can take both target state estimation error distribution and target state spatial density distribution into consideration. From this formulation, the correlation algorithm for on-line processing is derived by modifications and approximations. Through analytical evaluations and simulation studies, it is shown that the proposed algorithm is superior to the conventional nearest neighbor algorithm.

Autonomous decentralized control and its application to the rapid transit system

Abstract A large scale control system has three intrinsic requirements of fault tolerance, on-line extension and maintenance for non-stop operation. For attaining these requirements, the new design philosophy for autonomous decentralized control system, called HAL (Harmonous, Autonomous and Localities) concept, has been proposed based on the biological analogy. The viewpoint of this concept is that it is quite normal for a system to have failed parts. Sufficient conditions for an autonomous decentralized control system are given that every subsystem is uniform and equal in function and structure, and utilizes only local information for control and coordination. As one of the applications to the system components of this new concept, ADL-Net (Autonomous Decentralized Loop Network) has been developed, where fault tolerance of the system is attained by giving autonomy for fault detection, recovery and transmission to every network control processor. The HAL concept has also been applied to the train traffic control system for subways with three intrinsic requirements for supporting their non-stop operations.

Fuzzy Control for Automatic Train Operation System

Abstract A fuzzy control that uses rules based on a skilled human operators experience is applied to automatic train operations. Essentially, train operation is a nonlinear control function. Up to now, this system has been developed by linearlized control usina a target pattern. However, it was difficult to control the train in a manner similar to a human operator. In this paper, a fuzzy control which uses linguistical control rules is proposed. Furthermore, an automatic train operation system which evaluates safety, comfort, traceability of target velocity, and the accuracy of a stop gap has been developed. According to the result of the simulation, our newly developed automatic control system having the fuzzy control realizes a comfortable and accurate stop control, and its control rules are easy to understand and are connected to the performance indices. Therefore, system performance can be directly adjusted as desired.

Autonomous decentralization concept and its application to railway control systems

An autonomous decentralization concept based on a biological analogy has been developed. It yields a higher degree of reliability and flexibility by designing system structure, control and expansion on the assumptions that even if any subsystem fails, the other subsystems will continue working without shutting down. A subway transit system based on this concept has been realized. The functions of power supply control, train traffic control, train maintenance and dispatching are decentralized so as to prevent local trouble from affecting the whole system and to maintain transportation service. The autonomous decentralized concept has actually been applied as follows. Station control systems connected to an autonomous decentralized loop network system (ADL), are autonomous subsystems equivalent with others, having timetable information for each station. They can regulate train traffic based on only local information about how trains have been delayed or will be delayed.

Evolution of Reliable Computing in Hitachi and Autonomous Decentralized System

The history of R/D activities of control computer system group at Hitachi is briefly overviewed from the reliability point of view in order to show the back ground of Autonomous Decentralized System.

STEPS—A Planning and Designing Support System for Urban Transit Systems

A computer-assisted planning and designing system, named STEPS, has been developed, as a tool for use in the quantitate and rapid planning of urban transit systems. This paper presents the model of planning for urban transit systems, program architecture of STEPS, and the specification of an optimum system as a result of a case study by applying STEPS.