Due to the characteristics of the vehicle structure, the magnetic levitation train has a confined bottom space thus a study on miniaturization and weight reduction of auxiliary power unit is essential. This auxiliary power unit is an essential device used for illumination, air conditioning, heating and air brake equipment excluding the motor. The previous auxiliary power unit for magnetic levitation train has used the hard switching having a high switching frequency with heavy loss in order to reduce the size of filter reactor and transformer but the reduction in volume was not significant. In this paper, by reducing the loss, reducing the size of the cooling unit and by increasing the switching frequency using the soft switching of resonant converter, it has miniaturized and reduced the weight of filter reactor and transformer which occupy significant space in the auxiliary power unit. This study has verified the performance of 50KVA grade prototype through simulated interpretation and analysis, and compared the size and weight of auxiliary power unit of the previous magnetic levitation train.
In an electro-mechanical integration system where loads consist of a mechanical system, the electrical system specification and configuration will depend on the mechanical system. Therefore, inaccurate parameters of the mechanical system will make difficult the selection of electrical system specification and the effective controller design. Of these, the controller design often adopts an experimental method or a method using numerical analysis. With such methods, however, it is difficult to predict the actual system in advance followed by specification selection and controller design. Hence, to perform a faster and more accurate modeling of the system, a collaborative analysis is required for two physically different systems in a virtual space. In the present article, a method of an electro-mechanical collaborative analysis is proposed for an elevator door drive system. From mechanical load modeling using simulation, an electrical requirement specification has been derived. In addition, a C++-based collaboration program has been developed that can connect mutually different physical domains according to the proposed collaborative analysis procedures. The proposed modeling technique and program have been verified through simulation and experimental result.
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