• 제목/요약/키워드: advanced numerical algorithm

검색결과 183건 처리시간 0.023초

내연기관의 흡.배기계내 가스유동해석용 알고리즘의 고정도화 (Improvement of algorithm for the calculation of gas flowin intake and exhaust system on diesel engines)

  • ;최재성
    • Journal of Advanced Marine Engineering and Technology
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    • 제25권1호
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    • pp.107-114
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    • 2001
  • Many simulation programs included intake and exhaust system on diesel engines have been developed. However, existing programs using 1-D numerical analytic methods in manifold gas flow by the method of characteristics have some problems to be solved.. Especially to optimzing the engine system, a simulation program which had more efficiency and accuracy is required newly. In this paper, a improved method for application limit and efficiency as well as mass conservation named constant mesh explicit method of characteristic was described. And some calculation results by this method were compared with experimental results and orther calculation results. Also, it was confirmed that the results by the proposed method were more agreed with experimental results.

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뉴럴네트워크를 이용한 산업용 로봇의 동특성 해석 (Dynamics Analysis of Industrial Robot Using Neural Network)

  • 이진
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1997년도 춘계학술대회 논문집
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    • pp.62-67
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    • 1997
  • This paper reprdsents a new scheme of neural network control system analysis the robustues of robot manipulator using digital signal processors. Digtal signal processors, DSPs, are micro-processors that are particularly developed for fast numerical computations involving sums and products of variables. Digital version of most advanced control algorithms can be defined as sums and products of measured variables, thus it can be programmed and executed through DSPs. In additions, DSPs are a s fast in computation as most 32-bit micro-processors and yet at a fraction of their prices. These features make DSPs a viable computational tool in digital implementation of sophisticated controllers. Durng past decade it was proposed the well-established theorys for the adaptive control of linear systems, but there exists relatively little general theory for the adaptive control of nonlinear systems. The proposed neuro network control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method.

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Machine Maintenance Policy Using Partially Observable Markov Decision Process

  • Pak, Pyoung Ki;Kim, Dong Won;Jeong, Byung Ho
    • 품질경영학회지
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    • 제16권2호
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    • pp.1-9
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    • 1988
  • This paper considers a machine maintenance problem. The machine's condition is partially known by observing the machine's output products. This problem is formulated as an infinite horizon partially observable Markov decison process to find an optimal maintenance policy. However, even though the optimal policy of the model exists, finding the optimal policy is very time consuming. Thus, the intends of this study is to find ${\varepsilon}-optimal$ stationary policy minimizing the expected discounted total cost of the system, ${\varepsilon}-optimal$ policy is found by using a modified version of the well-known policy iteration algorithm. A numerical example is also shown.

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전기자동차용 매입형 영구자석 동기전동기의 전류제어기 특성 개선 (Improvement of Current Controller Characteristics of Interior Permanent Magnet Synchronous Motor for Electric Vehicle)

  • 박정우;김종무;구대현;김홍근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 F
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    • pp.2526-2528
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    • 1999
  • Parameters of equivalent circuit of IPMSM are varied according to current magnitude and current phase angle. Especially, Parameter variation of IPMSM for an electric vehicle(EV) is critical. Because current magnitude is very large. and current phase angle range also is wide. So, variation characteristics of $L_d$ and $L_q$ of the IPMSM are analyzed and verified through experiments. And then new parameter estimator of $L_d$ and $L_q$ that is constructed by neural network technique is suggested Using numerical method, the advanced characteristics of current controller of vector control algorithm is verified.

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대규모 시스템을 위한 준최적 저감도성 비집중형 제어기에 관한 연구 (A Study on Decentralized Suboptimal Controller for Large Scale Systems with Low Sensitivity Property)

  • 오상록;서일홍;변증남
    • 대한전자공학회논문지
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    • 제20권3호
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    • pp.45-51
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    • 1983
  • 본 논문에서는 대규모 시스템을 위한 준최적 저감도성 비집중형 제어기를 설계하기 위하여 준최적 이득 행렬을 구하기 위한 필요조건과 알고리즘을 유도하였다. 또한 감도를 고려하지 않은 종래의 비집중제어기와의 비교를 위하여 수치적 예를 들어 보였다.

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유체-구조 연성 기법을 사용한 움직이는 2차원 실린더 주위의 유동 해석 (Fluid-structure interaction analysis of two-dimensional flow around a moving cylinder)

  • 이희범;이신형
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2011년 춘계학술대회논문집
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    • pp.68-74
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    • 2011
  • Recently, thanks to the advanced computational power and numerical methods, it is made possible to analyze the flow around moving bodies using computational fluid dynamics techniques. In those simulations, moving mesh techniques should be able to represent both the body motion and boundary deformation, which are frequently encountered in fluid-structure interaction and/or six degree-of-freedom problems. In the present study, the staggered loosely coupling algorithm was used for fluid-structure interaction and the Laplacian operator based technique was used for moving mesh. For the verification of the developed computational method, the flow around a two-dimensional cylinder was simulated and analyzed.

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Numerical Analysis of an Arc Plasma in a DC Electric Furnace

  • Lee, Yeon-Won;Lee, Jong-Hoon
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권8호
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    • pp.1251-1257
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    • 2004
  • In order to analyze the heat transfer phenomena in the plasma flames, a mathematical model describing heat and fluid flow in an electric arc has been developed and used to predict heat transfer from the arc to the steel bath in a DC Electric Arc Furnace. The arc model takes the separate contributions to the heat transfer from each involved mechanism onto account, that is radiation, convection and energy transported by electrons. The finite volume method and a SIMPLE algorithm are used for solving the governing MHD equations, that are conservation equations of mass, momentum and energy together with the equations describing a standard k-${\varepsilon}$ model for turbulence. The model predicts heat transfer for different currents and arc lengths. Finally these calculation results can be used as a useful insight into plasma phenomena of the industrial-scale electric arc furnace. From these results, it can be concluded that higher arc current and longer arc length give high heat transfer

차압식 Venturi-cone 유량계에 대한 유동해석 (Numerical Analysis of the Differential Pressure Venturi-cone Flowmeter)

  • 윤준용;맹주성;이정원
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1997년도 추계 학술대회논문집
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    • pp.143-148
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    • 1997
  • Differential pressure Venturi cone flowmeter is an advanced flowmeter which has many advantages such as wide range of measurement, high accuracy, excellent flow turndown ratio, low headless, and short installation pipe length requirement, etc. Like other differential pressure flowmeter, Venturi cone flowmeter uses the law of energy conservation, but its shape and position make it perform better than others. The cone acts as its own flow conditioner and mixer, fully conditioning and mixing the flow prior to measurement. For the analysis, we use Reynolds-averaged Navier-Stokes equations and $k-{\omega}$ turbulence model. The equations are fully trans-formed in the computational coordinates, the pressure-velocity coupling is made through SIMPLER algorithm, and the equations are discretized using analytic solutions of the linearized equations(Finite Analytic Method). At the end of the paper, using the result of analysis, We propose a new shape of cone with the hope of drag reduction and high performance.

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An Algorithm for Support Vector Machines with a Reject Option Using Bundle Method

  • Choi, Ho-Sik;Kim, Yong-Dai;Han, Sang-Tae;Kang, Hyun-Cheol
    • Communications for Statistical Applications and Methods
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    • 제16권6호
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    • pp.997-1004
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    • 2009
  • A standard approach is to classify all of future observations. In some cases, however, it would be desirable to defer a decision in particular for observations which are hard to classify. That is, it would be better to take more advanced tests rather than to make a decision right away. This motivates a classifier with a reject option that reports a warning for those observations that are hard to classify. In this paper, we present the method which gives efficient computation with a reject option. Some numerical results show strong potential of the propose method.

원심압축기의 공력소음 저감에 관한 설계연구 Part II : 저소음 최적설계 (A Design Study of Aerodynamic Noise Reduction In Centrifugal Compressor Part II . Low-noise Optimization Design)

  • 선효성;이수갑
    • 한국소음진동공학회논문집
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    • 제14권10호
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    • pp.939-944
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    • 2004
  • The numerical methods including the performance analysis and the noise prediction of the centrifugal compressor impeller are coupled with the optimization design skill, which consists of response surface method, statistical approach, and genetic algorithm. The flow-field Inside of a centrifugal compressor is obtained numerically by solving Wavier-Stokes equations. and then the propagating noise is estimated from the distributed surface pressure by using Ffowcs Williams-Hawkings formulation. The quadratic response surface model with D-optimal 3-level factorial experimental design points is constructed to optimize the impeller geometry for the advanced centrifugal compressor. The statistical analysis shows that the quadratic model exhibits a reasonable fitting quality resulting in the impeller blade design with high performance and low far-field noise level. The influences of selected design variables, objective functions, and constraints on the impeller performance and the impeller noise are also examined as a result of the optimization process.