• Title/Summary/Keyword: 입력전압 센서

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Finite Element Method Analysis for Temperature Profile of a Planar Multijunction Thermal Converter (유한 요소법에 의한 평면형 다중접합 열전변환기의 온도분포 해석)

  • Hwang, Chan-Soon;Cho, Hyun-Duk;Kwon, Jae-Woo;Lee, Jung-Hee;Lee, Jong-Hyun;Kim, Jin-Sup;Park, Se-Il;Kwon, Sung-Won
    • Journal of Sensor Science and Technology
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    • v.10 no.3
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    • pp.196-206
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    • 2001
  • Real temperature profiles of a planar chromel-alumel mutli-junction thermal converter(TC 1) were measured by thermal image. Temperature profiles as a function of input power of thermal converters(TC 1${\sim}$TC 6) were simulated by 3-dimensional ANSYS program based on finite element method. Temperature difference between the hot junction and the cold junction for TC 1 was smallest and largest for TC 6 and correspondingly, he voltage response for TC 1 and TC 6 showed the smallest value of 3.09 mV/mW and the largest value of 4.03 mV/mW, respectively.

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Sensorless speed control of a Switched Reluctance Motor using Fuzzy position estimation algorithm (퍼지회전자 위치평가 알고리즘을 이용한 SRM센서리스 속도제어에 관한 연구)

  • 최재동;김갑동;안재황;성세진
    • The Transactions of the Korean Institute of Power Electronics
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    • v.5 no.4
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    • pp.343-351
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    • 2000
  • This paper introduces a new rotor position estimation algorithm for the Switched Reluctance Motor, based on the magnetizing curves only at aligned and unaligned rotor positions. The flux linkage is calculated by measured data from phase voltage and phase current, and calculated data are used as the input of magnetizing profiles for rotor position detection. The fuzzy flux observer using novel knowledge-based fuzzy controller are presented to achieve sensorless control of the SRM. The method for selecting optimal angle is proposed for the rotor position detection. The robustness of the proposed algorithm is proved through the comparison of the simulation and experimental results.

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Self-Sensing Actuator Using an Ion-Polymer Metal Composite Based on a Neural Network Model (뉴럴네트워크 모델 기반의 IPMC 셀프 센싱 액추에이터)

  • Yoon, Jong-Il;Truong, Dinh Quang;Ahn, Kyoung-Kwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.12
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    • pp.1865-1870
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    • 2010
  • We develop an IPMC actuator with self-sensing behavior based on an accurate neural network model (NNM). The supplied voltage and voltage signals measured at two determined points on both sides of the IPMC sheet are used as inputs to the NNM. A CCD laser displacement sensor is installed in the rig for accurate measurement of the IPMC tip displacement that is used as the training output of the proposed NNM. Consequently, the NNM model is used to estimate the IPMC tip displacement; the NNM parameters are optimized by the collected input/output training data. The effectiveness of the model for the IPMC actuator is then verified by modeling results.

A Simulator for Performance Evaluation of Historical Data Compression Algorithm (이력 데이터 압축 알고리즘의 성능평가를 위한 시뮬레이터)

  • Yoo, Min-Hyung;Kim, Ho-Young;Han, Sang-Hyuck;Kim, Young-Kuk
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06a
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    • pp.182-184
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    • 2012
  • 산업분야에서 이용되는 이력 데이터는 압력, 부피, 온도, 볼트, 전류, 전압 등 각종 제어기나 센서에서 발생하는 입력 정보를 일정 시간 간격으로 수집되는 데이터로, 데이터의 값이 일정하거나 값의 폭이 좁고, 많게는 수만 개의 포인트가 실시간으로 수집, 저장되어지는 대용량의 데이터라는 특징이 있다. 이러한 특성을 지닌 이력 데이터는 이력의 모든 데이터를 저장하지 않고, 전체를 대표하는 데이터의 일부만을 저장함으로써 이력 데이터의 효율적인 관리와 공간효율을 극대화시킬 수 있다. 이러한 이력 데이터를 효과적으로 관리하고, 보관하기 위해 이력 데이터 압축 알고리즘에 대한 개발과 연구가 진행 중이다. 그러나 이미 알려져 있는 이력 데이터 압축 알고리즘과 개발하고 있는 알고리즘의 성능에 대한 평가를 할 수 있는 시뮬레이터는 개인이나 소규모 집단만을 위해 만들어지거나, 공개되지 않고 있어 사용하기에 제한적이다. 이에 이력 데이터 압축 성능평가를 위한 시뮬레이터인 HDCS(Historical Data Compression Simulator)를 설계하고 구현하고자 한다.

Phase-Difference Control of Ultrasonic Motor (초음파 모터의 위상차 제어)

  • 김영동;오금곤
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.10 no.1
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    • pp.66-74
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    • 1996
  • 최근 진행파형 초음파 모터는 그 구조가 간단하고, 저속 고 토크이어서 직접 구동()용으로 많은 호응을 얻고 있다. 또한 응답이 빠르고, 정지 토크가 크며 설계자유도가 높을 뿐만 아니라 운전시 소음이 없고 자계에 강해 자동화 설비 분야 등 산업 전반에 걸쳐 매우 각광을 받고 있다. 본 논문에서는 초음파 모터의 2상 입력전원의 위상차를 조절하여 속도와 토크 특성을 이론적으로 고찰하고, 이를 토대로 위상차 제어기를 설계 제작하였다. 그리고 이를 이용하여 위상차 제어방식을 채용한 경우 초음파 모터의 위치 및 속도제어는 물론 간단한 알고리즘으로 토크 제어가 가능함을 시뮬레이션과 실험을 통하여 검토하였다. 실험 결과 위상차 변화에 따라 속도가 토크가 거의 비례해서 변화하였다. 이것으로 전원 전압의 위상차 조절을 통해서 속도와 토크를 동시에 제어할 수 있을 뿐만 아니라 토크센서 없이 각도 센선 만으로도 위치제어는 물론 토크 제어도 큰 오차 없이 행할 수 있음을 밝혔다.

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A Current Sensor-less Bridgeless CCM Single-Stage PFC Converter with Semi-Active Rectifier (Semi-Active Rectifier를 적용한 센서리스 단일단 브리지리스 PFC 컨버터)

  • Naradhipa, Adhistira M.;Kang, Suhan;Hai, Tran;Sagpazar, Nur Banu;Choi, Sewan
    • Proceedings of the KIPE Conference
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    • 2018.11a
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    • pp.59-61
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    • 2018
  • 본 논문에서는 입력전류를 센싱 받지 않아도 역률 보상을 하는 새로운 단일단 브리지리스 AC-DC컨버터를 제안한다. 제안하는 컨버터의 스위치는 전구간에서 ZVS(Zero Voltage Switching) 턴 온을 성취하며, 다이오드는 전구간에서 ZCS(Zero Current Switching) 턴 오프를 성취한다. 제안하는 컨버터의 넓은 범위의 출력전압 제어와 간단한 전력 제어를 위해 SDAB(Semi-Dual Active Bridge)기반의 모듈레이션 기법을 적용하였다. 1kW급 50kHz의 스위칭 주파수를 갖는 시작품을 통해 본 논문의 타당성을 검증하였다.

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Low-Cost Current Measurement Method for Vector Control of 2-Phase Induction Motor (2상 유도전동기의 벡터제어를 위한 저가형 전류측정 방법)

  • Oh, Kwang-Ho;Yoon, Duck-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.634-638
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    • 2015
  • Phase currents should be measured in real time for vector control of a 2-phase induction motor. Generally, the phase currents of the motor are measured using two Hall current sensors installed at the output terminal of an inverter. Unfortunately, Hall current sensors are expensive and uneconomical because a vector-controlled inverter for 2-phase induction motor is mainly used in low-power and low-price applications. This paper proposes a low-cost current measurement method using two shunt resistors instead of expensive Hall current sensors. The proposed method can measure the phase currents under all operating conditions of the motor. This method was applied to an experimental vector-controlled inverter for 2-phase induction motor of 220[V]/360[W] and was verified through computer simulations and experimentation.

Design of 1.0V O2 and H2O2 based Potentiostat (전원전압 1.0V 산소 및 과산화수소 기반의 정전압분극장치 설계)

  • Kim, Jea-Duck;XIAOLEI, ZHONG;Choi, Seong-Yeol;Kim, Yeong-Seuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.345-352
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    • 2017
  • In this paper, a unified potentiostat which can measure the current of both $O_2$-based and $H_2O_2$-based blood glucose sensors with low supply voltage of 1.0V has been designed and verified by simulations and measurements. Potentiostat is composed of low-voltage operational transconductance amplifier, cascode current mirrors and mode-selection circuits. It can measure currents of blood glucose chemical reactions occurred by $O_2$ or $H_2O_2$. The body of PMOS input differentional stage of the operational transconductance amplifier is forward-biased to reduce the threshold voltage for low supply voltage operation. Also, cascode current mirror is used to reduce current measurement error generated by channel length modulation effects. The proposed low-voltage potentiostat is designed and simulated using Cadence SPECTRE and fabricated in Magnachip 0.18um CMOS technology with chip size of $110{\mu}m{\times}60{\mu}m$. The measurement results show that consumption current is maximum $46{\mu}A$ at supply voltage of 1.0V. Using the persian potassium($K_3Fe(CN)_6$) equivalent to glucose, the operation of the fabricated potentiostat was confirmed.

Development of PC based Digital Controller of Ultrasonic Motor Using FPGA (FPGA를 이용한 초음파모터의 PC기반 디지털 제어기 개발)

  • Kim, Dong-Ok;Lee, Hwa-Chun;Song, Sung-Geun;Kim, Young-Dong;Lim, Young-Cheol;Park, Sung-Jun
    • The Transactions of the Korean Institute of Power Electronics
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    • v.12 no.6
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    • pp.500-509
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    • 2007
  • In this paper, we propose a novel pc-based 8-channel USB interface digital multi-controller (DMC) has capacity to be able to adjust ultrasonic motor's (USM's) the parameters-frequency, amplitude, phase difference using FPGA. The proposed DMC can control parameters directly by digital logic through a FPGA. Since it has counter circuit for rotary encoder to measure position and velocity of USM, the other separate circuits are unnecessary. Therefore, it could reduce the size of controller and the production cost. Finally, to verify the performance of proposed DMC, we tested the speed characteristic of two types USM with no-load as adjusting the parameters.

Sensorless Speed Control of Direct Current Motor by Neural Network (신경회로망을 이용한 직류전동기의 센서리스 속도제어)

  • 김종수;강성주
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1743-1750
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    • 2003
  • DC motor requires a rotor speed sensor for accurate speed control. The speed sensors such as resolvers and encoders are used as a speed detector, but they increase cost and size of the motor and restrict the industrial drive applications. So in these days, many papers have reported in the sensorless operation of DC motor〔3­5〕. This paper presents a new sensorless strategy using neural networks〔6­8〕. Neural network has three layers which are input layer, hidden layer and output layer. The optimal neural network structure was tracked down by trial and error, and it was found that 4­16­1 neural network structure has given suitable results for the instantaneous rotor speed. Also, learning method is very important in neural network. Supervised learning methods〔8〕 are typically used to train the neural network for learning the input/output pattern presented. The back­propagation technique adjusts the neural network weights during training. The rotor speed is gained by weights and four inputs to the neural network. The experimental results were found satisfactory in both the independency on machine parameters and the insensitivity to the load condition.