• Title/Summary/Keyword: electrical parameters.

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Complex Permittivity Extraction of Blood Glucose at Microwave Frequency

  • Jeong, You-Chul;Lee, Hee-seok;Kim, Joung-ho
    • Journal of electromagnetic engineering and science
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    • v.1 no.2
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    • pp.139-145
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    • 2001
  • In this paper, a coaxial sample holder is proposed with its de-embedding and parameter extraction procedure. The S-parameters were measured up to 1 GHz using network analyzer, HP8753D, and N-type connector together with the de-embedding of N-type connector. The proposed de-embedding procedure is performed to extract electrical parameters of blood glucose, which gives the permittivity of blood glucose. We also analyzed the error of extracted parameters, which are caused by instrument error and geometrical error. Using these error analyses, we reduced the error factors of extracted parameters. We extracted electrical parameters of glucose samples through these all extraction procedure and confirmed the possibility of glucose diagnosis system based on microwave system.

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Auto tuning method for vector control of Induction Motor (유도전동기의 벡터제어를 위한 자기동조기법)

  • Noh, Young-Nam;Yi, Eun-Gyu;Jeong, Eull-Gi;Jeon, Hee-Jong
    • Proceedings of the KIEE Conference
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    • 1997.07f
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    • pp.2139-2142
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    • 1997
  • The most important thing in vector control scheme is the knowledge of accurate electrical motor parameters. These parameters can computed by conventional motor test, such as no-load and locked rotor tests. However, the values from these tests are different from actual motor parameters, and the adjustment process of the parameters is time consuming. This paper presents an auto-tuning method for vector control of induction motor. The tuning algorithm is based on the rotor flux behavior of the induction motor for stepwise torque current command. The transient terminal voltage caused by the undesirable variation of the rotor flux is used for tuning the slip gain $K_5$ defined as the inverse of the rotor time constant. The electrical parameters of induction motor can also calculated by this method. The presented method is evaluated through the computer simulations.

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Electrical Parameter Tests of Synchronous Reluctance Motor

  • Khang, Huynh Van;Hwang, Seon-Hwan;Kim, Jang-Mok;Ahn, Jin-Woo
    • Proceedings of the KIPE Conference
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    • 2007.07a
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    • pp.211-213
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    • 2007
  • The electrical parameters are used to calculate gains in the current regulator as well as to determine the reference currents of speed controller in various control strategies of Synchronous Reluctance Motors (SynRMs). Many methods of measuring or estimating the electrical parameters of SynRM have been proposed by other authors. But almost papers only measure or estimate in the limited conditions without fully considering the effects of inverter, connecting wire and magnetic saturation. The parameter results are usually different from the real system parameters. The drive performance, therefore, can not be good if using inaccurate parameters. In this paper, several methods used to measure the electrical parameters are introduced. The first method is LCR meter. And then, a method determining inductances by measuring AC current and voltage from AC power supply is presented. A new method with high reliability is proposed to measure the electrical parameters of SynRM. The experiment results verify the effectiveness of the new proposed method.

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Systematic Approach of Internal Parameters for Equivalent Electrical-Circuit Modeling(EECM) of a Li4Ti5O12(LTO) cell (Li4Ti5O12(LTO) 배터리 등가회로 모델링을 위한 내부 파라미터 체계적 해석)

  • Lee, Pyeong-Yeon;Yoon, Chang-O;Park, Jin-Hyeong;Kim, Jonghoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.3
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    • pp.174-181
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    • 2018
  • This study introduces a systematic approach to selecting the internal parameters applied to the equivalent electrical-circuit model (EECM) of a lithium titanium oxide ($Li_4Ti_5O_{12}$; LTO) rechargeable cell. Based on the dynamic characteristic of the cell, a simplified EECM consisting of an open-circuit voltage (OCV), an ohmic resistance, and an RC ladder is fabricated. To select the internal parameters of a simplified EECM, experiments on discharge capacity, OCV, and discharge/charge resistances are performed using hybrid pulse power characterization and direct current internal resistance (DCIR) measurements over the full state-of-charge (SOC) range. The experimental results of the LTO rechargeable cell highlight the importance of correct selection of internal parameters that can reduce EECM errors. This study clearly provides experimental procedures, internal parameters results, and EECM guidelines for adaptive control-based SOC estimation for LTO rechargeable cells.

Off-Line Parameter Identification of Permanent Magnet Synchronous Motor Using a Goertzel Algorithm

  • Yoon, Jae-Seung;Lee, Kyoung-Gu;Lee, June-Seok;Lee, Kyo-Beum
    • Journal of Electrical Engineering and Technology
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    • v.10 no.6
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    • pp.2262-2270
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    • 2015
  • Generally, internal parameters of the motors and generators can be divided to the resistance and inductance components. They can become a cause of the changing internal parameters because they have sensitive characteristics due to external conditions. The changed parameters can generate the outputs which include error values from the speed and current controllers. Also, it can bring the temperature increase and mechanical damage to the system. Therefore, internal parameters of the motors and generators need to obtain their values according to the external conditions because it can prevent the mechanical damage caused by the changed parameters. In this paper, the off-line parameter identification method is verified using the Goertzel algorithm. The motor used in the simulation and experiments is an interior permanent magnet synchronous motor (IPMSM), and the proposed algorithm is verified by the simulation and experimental results.

Determination of Machining Parameters Considering Current Density in Three Dimensional Electrical Discharge Machining (3차원 방전가공에서 전류밀도를 고려한 방전가공조건 결정)

  • 이건범;김정두;최병훈;송희덕
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.3
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    • pp.100-106
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    • 1999
  • Owing to the complexity of electrical discharge machining (EDM) phenomenon, it is very difficult to determine optimal machining parameters fer improving machining performance. This paper proposes a methodology for determining optimal electrical discharge machining parameters, which is maintaining suitable current density for increasing productivity or improving surface roughness. Machining area is closely related on optimal machining parameters in electrical discharge machining process, so calculation of machining area is needed in order to determine optimal machining parameters. In this study machining area, which is corresponding to the machining position, is calculated from intersection curves between the tool surface and a horizontal plane.

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Identification of the Jiles-Atherton Model Parameters Using Simulated Annealing Method

  • Bai, Baodong;Wang, Jiayin
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.2
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    • pp.18-22
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    • 2012
  • This paper presents a method and the experimental measurement system for the determination of Jiles-Atherton model parameters of the 30ZH120 electrical steel sheet. The paper utilizes Epstein Square devices to proceed with the experiment and measurement on a group of hysteresis loops of some certain transformers which use the 30ZH120 electrical steel sheet under two different lap ways. The approach relies on the simulated annealing optimization method in order to minimize the error between the measured and modeled hysteresis curves and yield the best five Jiles-Atherton model parameters. A convenient program, based on the Simulink platform, that can identify the J-A model parameters automatically from the experimental saturated hysteresis loop which is used to model the nonlinear characteristics of the electrical steel sheet, is developed. Research shows that the simulated annealing optimization method gets satisfactory results.

Influence of Device Parameters Spread on Current Distribution of Paralleled Silicon Carbide MOSFETs

  • Ke, Junji;Zhao, Zhibin;Sun, Peng;Huang, Huazhen;Abuogo, James;Cui, Xiang
    • Journal of Power Electronics
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    • v.19 no.4
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    • pp.1054-1067
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    • 2019
  • This paper systematically investigates the influence of device parameters spread on the current distribution of paralleled silicon carbide (SiC) MOSFETs. First, a variation coefficient is introduced and used as the evaluating norm for the parameters spread. Then a sample of 30 SiC MOSFET devices from the same batch of a well-known company is selected and tested under the same conditions as those on datasheet. It is found that there is big difference among parameters spread. Furthermore, comprehensive theoretical and simulation analyses are carried out to study the sensitivity of the current imbalance to variations of the device parameters. Based on the concept of the control variable method, the influence of each device parameter on the steady-state and transient current distributions of paralleled SiC MOSFETs are verified separately by experiments. Finally, some screening suggestions of devices or chips before parallel-connection are provided in terms of different applications and different driver configurations.

Speech Emotion Recognition using Feature Selection and Fusion Method (특징 선택과 융합 방법을 이용한 음성 감정 인식)

  • Kim, Weon-Goo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.8
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    • pp.1265-1271
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    • 2017
  • In this paper, the speech parameter fusion method is studied to improve the performance of the conventional emotion recognition system. For this purpose, the combination of the parameters that show the best performance by combining the cepstrum parameters and the various pitch parameters used in the conventional emotion recognition system are selected. Various pitch parameters were generated using numerical and statistical methods using pitch of speech. Performance evaluation was performed on the emotion recognition system using Gaussian mixture model(GMM) to select the pitch parameters that showed the best performance in combination with cepstrum parameters. As a parameter selection method, sequential feature selection method was used. In the experiment to distinguish the four emotions of normal, joy, sadness and angry, fifteen of the total 56 pitch parameters were selected and showed the best recognition performance when fused with cepstrum and delta cepstrum coefficients. This is a 48.9% reduction in the error of emotion recognition system using only pitch parameters.

Evaluation of LCD device parameters and rubbed surface of Polyimide by means of renormalized spectroscopic ellipsometry

  • Kimura, Munehiro;Hasegawa, G.;Sakamoto, H.;Akahane, T.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.1715-1718
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    • 2006
  • Evaluating method of the device parameters of liquid crystal display (LCD) by means of the renormalized transmission spectroscopic ellipsometry is demonstrated. Dielectric and elastic constant, threshold voltage, pretilt angle, cell gap and Anchoring strength coefficients can be evaluated from the measurement of ellipsometric parameters measured by the symmetrically oblique incidence transmission ellipsometry (SOITE). Furthermore, rapid evaluating method for rubbed polyimide film is also demonstrated.

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