The purpose of this work is to present the speed sensorless vector control method of the torque production from each rotor of three induction motors with parallel connected stator windings fed by a single inverter and to discuss the performance of the system from simulation results. A control method for the parallel connected dual induction motor drive system was proposed by [ I]. The method uses average and differential currents flowing into stator windings and rotor flux of dual induction motors. And we proposed the theory [2] that the adaptive rotor flux observer for estimating the induction motor speed [3]-[5] is applied to. The controll method of three induction motors proposed in this paper is the extension of the two induction motors controll method.
As for a decommissioning job in Japan decontamination and dismantling including safety store are executed during the prior period of the total project. The reprocessing and disposal of dismantling wastes as well recycling is to be practiced during the succeeding period. An expert system proposed in this paper has a faculty of furnishing motivations for decommissioning planners by correlative estimations of the project between its prior part and the succeeding recycle part of total process. This paper presents both a summarized configuration and an algorithm of the proposed model and indicates some contents of essential data bases (D/B) to be prepared as well some additional data to embody an assumed scenario for recycling. The proposed model provides the useful outputs concerning commercial cost, required procedures or licenses, regional encouragement, obstacles to be surmounted and so on. These outputs are available to explain the outline of the project both to inside and to outside of a plant corporate entity by combining each other. Simulated cases for concrete structures in non-controlled areas bring some information about both feasibility and comparisons of assumed recycling scenarios taking account of quality requirements in relevant technical standards, ordinances and the ability of reprocessing facilities.
Japanese railway network especially in metropolitan area has become more complex or overcrowded. Railway companies must recovery stable operations when any accidents or troubles happen in their railway lines. However, computational supports for resolving train rescheduling problems are limited due to complexity of these problems. To make computational supports expanded, it is important to predict the behavior of trains exactly. In this research, we applied a theoretical traffic flow model to a real line in Tokyo. We observe that area of good parameters shifts according to time period or simulated train. Finally we conclude that the relation between given parameters and the accuracy of predictions is so complex that we cannot improve that accuracy only by enlarging the number of cells that are used in the employed Cellular Automata model.
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