• Title/Summary/Keyword: MFPT

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A Study on High Performance Torque Control of 48V Wound Rotor Synchronous Motor Using Flux Mapping (48V 계자 권선형 동기전동기 고성능 자속기반 토크제어)

  • Kim, Seonhyeong;Chun, Kwangsu;Park, Hongjoo;Park, Kyusung;Jin, Wonjoon;Lee, Geunho
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.12
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    • pp.1142-1151
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    • 2015
  • In this paper, High performance torque control based on the flux mapping of 48V Wound Rotor Synchronous Motor has been studied to improve torque control. Flux map considering MTPA (Maximum Torque Per Ampere), MFPT (Minimum Flux Per Torque), Maximum efficiency point at the same torque command and flux command for each field current was produced. Current map using flux mapping of Each field current was applied to the MTPA, MFPT. Generating a current vector locus was to determine the characteristics of the operation region. Through the Matlab/Simulink simulation, difference between speed-torque map and flux map was represented. The suggested flux map was tested actual experiments on a dynamometer.

A study on the identification of hub cities and delineation of their catchment areas based on regional interactions (지역 거점도시 식별 및 상호작용에 따른 영향권역 설정에 관한 연구)

  • Kim, Dohyeong;Woo, Myungje
    • Journal of Korea Planning Association
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    • v.53 no.7
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    • pp.5-22
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    • 2018
  • While the competitiveness of small and medium sized cities has become important for balanced development at the national scale, they have experienced continuous decline in population and employment, particularly those in non-capital regions. In addition, some of small and medium sized cities have been classified into shrinking cities that have declined due to their long-term structural reasons. To address these issues, a regional approach, by which a hub city and its surrounding small and medium sized cities can collaborate has been suggested. Given this background, the purpose of this study is to identify and delineate hub cities and their impact areas by using travel data as a functional network index. This study uses a centrality index to identify the hub cities of small and medium sized cities and Markov-chain model and cluster analysis to delineate regional boundaries. The mean first passage time (MFPT) generated from the Markov-chain model can be interpreted as functional distance of each region. The study suggests a methodological approach delineating the boundaries of regions incorporating functional relationships of hub cities and their impact areas, and provides 59 hub cities and their impact areas. The results also provide policy implications for regional spatial planning that addresses appropriate planning boundaries of regions for enhancing the economic competitiveness of small and medium sized cities and ensuring services for shrinking cities.