• 제목/요약/키워드: D-optimal experimental design

검색결과 199건 처리시간 0.026초

복권형 하이브리드 스테핑 전동기의 회전차 위치 센서리스 최적 Lead Angle 제어 (Rotor Position Sensorless Control of Optimal Lead Angle in Bifilar-Wound Hybrid Stepping Motor)

  • 이종언;우광준
    • 전자공학회논문지S
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    • 제36S권2호
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    • pp.120-130
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    • 1999
  • 본 연구에서는 복권형 하이브리드 스테핑 전동기의 회전자 위치 함수로 주어지는 순시 상전류식을 유도하여 Laad Angle에 따른 순시 상전류값의 변화를 보이고, 특히 여자 펄스 인가후 ${\pi}/2$ 시점의 수닛 상전류값으로부터 회전자 위치 정보를 얻을 수 있음을 이론식 및 컴퓨터 시뮬레이션에 의해 확인하였다. 이러한 사실으로부터 복권형 하이브리드 스테핑 전동기의 폐루프 운전을 위해 회전자 위치 검출기를 사용하지 않고 전동기의 파라미터가 고려된 최적 Lead Angle이 실현된 여자 펄스를 생성시키는 제어기를 마이크로컨트롤러에 의해 구성하고 실험하였다. 구성된 제어기는 A/D 변환기, 프로그래머블 입.출력 타이머 및 전동기 속도에 대한 최적 Lead Angle 값을 갖는 변환 테이블 등의 기능을 갖는 마이크로컨트롤러와 또한 전동기의 속도와 여자 펄스 인가후 ${\pi}/2$ 시점의 순시 상전류값에 대한 정토오크 발생영역에 해당하는 Lead Angle 값을 갖는 변환 테이블을 위한 ROM 등으로 구성되어 외부 부가회로를 최소화하였으며, 전동기의 파라미터 등의 변화에 따른 제어량의 병환 테이블이 내용과 제어 S/W 에 의존함으로써 유연성을 확보하였다. 이와 같이 구성된 복권형 하이브리드 스테핑 전동기의 회전자 위 센서리스 최적 Lead Angle 시의 순시 상전류 파형과 유사한 파형을 얻음으로써 최적 Lead Angle 이 실현되었음을 확인할 수 있었다.

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전산유체해석과 다구찌 방법을 연계한 공기 가열식 히터 시스템의 난방속효성 최적화에 관한 연구 (A Study on the Optimum Design of Warm-up rate in a Air-Heated Heater System by Using CFD Analysis and Taguchi Method)

  • 김민호
    • 한국자동차공학회논문집
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    • 제13권2호
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    • pp.72-82
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    • 2005
  • The objective of this paper is to describe the optimization of design parameters in a large-sized commercial bus heater system by using CFD(computational fluid dynamics) analysis and Taguchi method. In order to obtain the best combination of each control factor which results in a desired performance of heater system, the parameter design of the Taguchi method is adopted for the robust design considering the dynamic characteristic. The research activity may be divided into four phases. The first one is analyzing the problem, i.e., ascertaining the influential factors. In the second phase the levels were set in such a way that their variation would significantly influence the response. In the third phase the experimental runs were designed. In the final phase the planned runs were carried out numerically to evaluate the optimal combination of factors which is able to provide the best response. In this study, eight factors were considered for the analysis: one with two level and seven with three level combinations comprising the $L_{18}(2^1{\times}3^7)$ orthogonal array. The results of this study can be summarized as follows ; (i)The optimum condition of control factor is a set of <$A_2\;B_1\;C_3\;D_3\;E_1\;F_2\;G_3\;H_2$> where A is shape of the outer fin, B is pitch of the outer fin, C is height of the outer fin, D is the inner fin number, E is the inner fin height, F is length of the flame guide, G is diameter of the heating element and H is clearance between air guide and heating element. (ii)The heat capacity of heated discharge air under the optimum condition satisfies the equation y=0.6M w here M is a signal factor. (iii)The warm-up rate improves about three times, more largely as com pared with the current condition, which results in about 9.2minutes reduction.

반도체 식각 공정용 초저온 냉각 시스템 설계를 위한 비가연성 혼합냉매 응축 및 비등 열전달 계수 측정 (Measurement of Condensation and Boiling Heat Transfer Coefficients of Non-flammable Mixed Refrigerant for Design of Cryogenic Cooling System for Semiconductor Etching Process)

  • 이천규;이정길
    • 반도체디스플레이기술학회지
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    • 제22권3호
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    • pp.119-124
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    • 2023
  • In this study, experimental approach of the measurement of condensation and evaporation heat transfer coefficients is discussed for mixed refrigerants using in the ultra low-temperature cooling system for semiconductor etching process. An experimental apparatus was described performing the condensation and evaporation heat transfer measurements for mixed refrigerants. The mixed refrigerant used in this study was composed of the optimal mixture determined in previous research, with a composition of Ar:R14:R23:R218 = 0.15:0.4:0.15:0.3. The experiments were conducted over a temperature range from -82℃ to 15℃ and at pressures ranging from 18.5 bar to 5 bar. The convection heat transfer coefficients of the mixed refrigerant were measured at flow rates corresponding to actual operating conditions. The condensation heat transfer coefficient ranged from approximately 0.7 to 0.9 kW/m2K, while the evaporation heat transfer coefficient ranged from 1.0 to 1.7 kW/m2K. The detailed discussion of the experimental methods, procedures, and results were described in this paper.

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Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles

  • Mahzad Esmaeili-Falak;Reza Sarkhani Benemaran
    • Geomechanics and Engineering
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    • 제32권6호
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    • pp.583-600
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    • 2023
  • The resilient modulus (MR) of various pavement materials plays a significant role in the pavement design by a mechanistic-empirical method. The MR determination is done by experimental tests that need time and money, along with special experimental tools. The present paper suggested a novel hybridized extreme gradient boosting (XGB) structure for forecasting the MR of modified base materials subject to wet-dry cycles. The models were created by various combinations of input variables called deep learning. Input variables consist of the number of W-D cycles (WDC), the ratio of free lime to SAF (CSAFR), the ratio of maximum dry density to the optimum moisture content (DMR), confining pressure (σ3), and deviatoric stress (σd). Two XGB structures were produced for the estimation aims, where determinative variables were optimized by particle swarm optimization (PSO) and black widow optimization algorithm (BWOA). According to the results' description and outputs of Taylor diagram, M1 model with the combination of WDC, CSAFR, DMR, σ3, and σd is recognized as the most suitable model, with R2 and RMSE values of BWOA-XGB for model M1 equal to 0.9991 and 55.19 MPa, respectively. Interestingly, the lowest value of RMSE for literature was at 116.94 MPa, while this study could gain the extremely lower RMSE owned by BWOA-XGB model at 55.198 MPa. At last, the explanations indicate the BWO algorithm's capability in determining the optimal value of XGB determinative parameters in MR prediction procedure.

함초 첨가 설기떡의 재료 혼합비율의 최적화 (Optimization of Ingredient Mixing Ratio for Preparation of Sulgidduk with Saltwort (Salicornia herbacea L.))

  • 장명숙;박정은
    • 한국식품영양과학회지
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    • 제35권5호
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    • pp.641-648
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    • 2006
  • 본 연구는 함초가루를 이용한 설기떡을 개발하기 위하여 재료의 최적 혼합비율을 찾는데 목적이 있다. 설기떡의 품질에 가장 영향을 미치는 수분, 함초가루, 설탕첨가율을 독립 변수로 설정하였고, 예비실험을 거쳐 수분 $13{\sim}18%$, 함초가루 $2{\sim}6%$, 설탕 $8{\sim}13%$의 범위에서 혼합물 실험계획법(mixture design) 중 D-optimal design을 이용하여 최적 재료 혼합비율을 찾고자 하였다. 각 설정된 범위를 입력하였을 때 10개의 실험점이 형성되었고, 4개의 반복점이 선택되어 실험점은 모두 14개가 설정되었다. 각 조건별 실험결과를 모델링화 하여 F-test를 통해 유의성을 검증한 결과 색도의 명도, 적색도, 황색도, 텍스쳐의 검성과 씹힘성, 관능검사 항목인 맛과 부드러운 정도는 linear 모델로 결정되었고, 텍스쳐의 경도, 관능검사의 색, 냄새, 촉촉한 정도, 전반적인 기호도는 quadratic 모델로 결정되었다. 모델의 적합성을 분석한 결과 모든 항목에서 probability가 모두 0.05% 이내에서 유의성을 보여 모델로서 적합함이 인정되었다. 반응표면과 trace plot의 결과 수분과 설탕첨가율이 높을수록, 함초가루 첨가량율이 낮을수록 명도는 높고, 적색도와 황색도는 낮았다. 텍스쳐의 경우 함초 첨가율이 증가할수록 경도, 검성, 씹힘성이 증가하여 함초가루의 첨가율이 높을 경우 설기떡의 부드러움을 저하하는 원인이 되었다. 관능검사 결과에서도 수분, 함초가루, 설탕을 많이 첨가할 경우에는 오히려 낮은 점수를 받았고, 특히 수분과 함초가루에 의하여 많은 영향을 받았다. 함초가루를 첨가한 설기떡의 최적 재료 혼합비율은 수치 최적화에서는 수분 15.2%, 함초가루 3.0%, 설탕 9.8%이었고, 모형적 최적화에서는 desirability가 0.620에 해당하는 수분 15.2%, 함초가루 3.1%, 설탕 9.7%로 수치 최적화점과 유사하게 나타났다.

소형 액체로켓엔진 지상연소시험용 초음속 노즐의 성능해석 (Performance Analysis of the Supersonic Nozzle Employed in a Small Liquid-rocket Engine for Ground Firing Test)

  • 감호동;김정수;배대석;이재원
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2011년도 제37회 추계학술대회논문집
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    • pp.321-324
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    • 2011
  • 지상연소시험용 소형 액체로켓엔진 초음속 노즐의 성능해석을 위하여 노즐내 유동특성 및 플룸 구조를 $k-{\omega}$ SST모델을 사용한 Reynolds-averaged Navier-Stokes 방정식으로 해석하였다. 해석기법의 검증을 위하여 2차원 축소-확대 노즐 초음속 유동의 해석값과 실험치를 비교하고, 검증된 기법으로 2차원 축대칭 노즐의 성능해석을 수행하였다. 그 결과 노즐 내부에 유동박리 및 역류현상의 발생이 확인되었으며, 이 해석결과는 소형 액체로켓엔진 노즐 최적설계에의 기초자료로 제시되었다.

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온도기울기 농축(TGF) 향상을 위한 미세채널 형상 최적화 연구 (Geometric Optimization of a Microchannel for the Improvement of Temperature Gradient Focusing)

  • 한태헌;김선민
    • 한국유체기계학회 논문집
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    • 제14권2호
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    • pp.17-24
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    • 2011
  • Temperature gradient focusing (TGF) of analytes via Joule heating is achieved when electric field is applied along a microchannel of varying width. The effect of varying width of the microchannel for the focusing performance of the device was numerically studied. The governing equations were implemented into a quasi-1D numerical model along a microchannel. The validity of the numerical model was verified by a comparison between numerical and experimental results. The distributions of temperature, velocity, and concentration along a microchannel were predicted by the numerical results. The narrower middle width and wider outside width of the channel having the fixed length contribute to improve the focusing performance of the device. However, too narrow middle width of the channel generates a higher temperature which can cause the problems including sample denaturation and buffer solution boiling. Therefore, the channel geometry should be optimized to prevent these problems. The optimal widths of the microchannel for the improvement on TGF were proposed and this model can be easily applied to lab-on-a-chip (LOC) applications where focusing is required based on its simple design.

LM-FNN 제어기에 의한 IPMSM 드라이브의 최대토크 제어 (Maximum Torque Control of IPMSM Drive with LM-FNN Controller)

  • 남수명;고재섭;최정식;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.566-569
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    • 2005
  • Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. The paper is proposed maximum torque control of IPMSM drive using artificial intelligent(AI) controller. The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $i_d$ for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using AI controller. This paper is proposed speed control of IPMSM using learning mechanism fuzzy neural network(LM-FNN) and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled LM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also. this paper is proposed the experimental results to verify the effectiveness of AI controller.

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돌극형 회전화 단상 SRM의 쇄교자속 측정 (Measurement of Flux Linkage in Salient Pole Rotor Type Single Phase SRM)

  • 김준호;이은웅;오영웅;이민명
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.123-125
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    • 2001
  • Salient pole rotor type single phase SRM(switched reluctance motor) uses the magnetic fluxes of radial and axial direction at the same time. Therefore the output power per unit volumn is very high and shaft length can be shorter than any other types of SRM with same output. Also, It can be manufactured with low cost thanks to simple structure and driving circuit. We already designed and manufactured prototype using the dynamic output equation of general rotating machine but the effect by salient pole structure was not considered. The most optimal design parameters for salient pole rotor type single phase SRM will be selected by comparing and analyzing the results from 3D FEM analysis, experimental values of the torque versus speed characteristics. and the nux linkage of prototype. Results for the former 3D FEM analysis and torque vs. speed characteristics were already obtained. Finally, we will measure the nux linkage of salient pole rotor type single phase SRM.

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지오메트리 피그용 캘리퍼 시스템 개발 (Development of Caliper System for Geometry PIG)

  • 유휘룡;김동규;조성호;박상호;박승수;박대진;구성자;노용우;박관수
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.228-234
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    • 2001
  • NTMS(Non-contact Tilted-angle Measuring System) is developed by using the principle that the magnetic field of an anisotropic magnet's inner space is uniform and it's possible to measure the strength of the magnetic field using a linear hall effect sensor. In order to implement the caliper system of the geometry PIG(Pipeline Inspection Gauge) which has high accuracy and proper output voltage of the hall sensor without additional driving module or a signal amplifier, it is necessary to consider the size of the magnet, the inner space and back-yoke and the position of pin-hole in the magnet. So the optimal design method of the caliper system is proposed through analysis of NTMS's magnetic field adopting a FEM(Finite Element Method). The experimental results show that the developed caliper system can be used for the geometry pig with good performances.

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