• Title/Summary/Keyword: radial performance

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An Application of the Optimal Routing Algorithm for Radial Power System using Improved Branch Exchange Technique (개선된 선로교환 기법을 이용한 방사상 전력계통의 최적 라우팅 알고리즘의 적용)

  • Kim, Byeong-Seop;Sin, Jung-Rin;Park, Jong-Bae
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.6
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    • pp.302-310
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    • 2002
  • This paper presents an application of a improved branch exchange (IBE) algorithm with a tie branch power (TBP) flow equation to solve the Optimal Routing problem for operation of a radial Power system including power distribution system. The main objective of the Optimal Routing problem usually is to minimize the network real power loss and to improve the voltage profile in the network. The new BE algorithm adopts newly designed methods which are composed by decision method of maximum loss reduction and new index of loss exchange in loop network Thus, the proposed algorithm in this paper can search the optimal topological structures of distribution feeders by changing the open/closed states of the sectionalizing and tie switches. The proposed algorithm has been evaluated with the practical IEEE 32, 69 bus test systems and KEPCO 148 bus test system to show favorable performance gained.

A Study on the Prediction of Performance and Simulation in a Radial inflow-Turbine for Exhaust Gas Turbochargers (과급기 구동용 반경류 배기터빈의 수치해석과 성능예측)

  • Jeong, Hyo-Min;Koh, Dae-Kwon
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.29 no.3
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    • pp.220-228
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    • 1993
  • This paper presents a description and evaluation of a detailed mathematical simulation for the steady and unsteady flow in a radial inflow-turbine which is most frequently used, at present, for exhaust gas turbochargers of internal combustion engines. As a method of computation, the two-step differential Lax-Wendroff method and the characteristic method were used. The turbine characteristics, the mass flow rate, the power output and fluid movements at the turbine scroll inlet were compared with the experiment data. The results of the simulation were in good agreement with experimental values under both steady and unsteady flow conditions.

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Improvement in Sinterability Iorn-Copper- Tin Compact (fe-Cu-Sn계 입분체의 소결성 향상)

  • 김윤채
    • Journal of Powder Materials
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    • v.7 no.1
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    • pp.50-54
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    • 2000
  • In order to reduce the sintering temperature of iron based sintered parts, sinteing properties of iron-copper prealloyed powder were investigated at various temperatures in the range of 700∼890$^{\circ}C$, and than the rusults were compared with those of the conventional iron-copper-tin compact using elemental powders, The using of prealloyed as a new process improved its sintering performance at lower temperature than elemental powder as the conventional process. The relative sintered density and radial crushing stength of the compact using prealloyed were higher than those of using elemental powder at all sintering temperature. For example, the radial curength of the compact using powder was about 50kg/mm2 at 700$^{\circ}C$, while that of the compact using elemental powder sintered at 890$^{\circ}C$ was 43kg/mm2.

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Elongated Radial Basis Function for Nonlinear Representation of Face Data

  • Kim, Sang-Ki;Yu, Sun-Jin;Lee, Sang-Youn
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.7C
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    • pp.428-434
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    • 2011
  • Recently, subspace analysis has raised its performance to a higher level through the adoption of kernel-based nonlinearity. Especially, the radial basis function, based on its nonparametric nature, has shown promising results in face recognition. However, due to the endemic small sample size problem of face data, the conventional kernel-based feature extraction methods have difficulty in data representation. In this paper, we introduce a novel variant of the RBF kernel to alleviate this problem. By adopting the concept of the nearest feature line classifier, we show both effectiveness and generalizability of the proposed method, particularly regarding the small sample size issue.

Design and analysis of a newly devised linear flexure bearing(KIMM-Ml) for cryogenic compressors (극저온 냉동기 헬륨 압축기용 선형 탄성 베어링의 해석 및 설계)

  • 조영선;최상규;박성제;김효봉;우호길
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.1091-1098
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    • 2003
  • Flexure bearings have been used in linear-resonant compressors to maintain a non-contacting clearance seal between the piston and cylinder. There are two types of tangential cantilever bearing and spiral arm bearing with flexure bearings. A newly devised linear flexure bearing (KIMM-Ml) for compression refrigeration machines is disclosed having improved tight gas clearance maintaining capability for better system performance. KIMM-Ml is an integrated device comprising an axially moving diaphragm with circumferentially arranged arc-shaped flexure blades secured between rim and hub spacers, which turn out to have higher radial stiffness than the one with circumferential tangential cantilever flexure blades. It is expected for KIMM-Ml to play a key role in designing long life, special purpose compression refrigeration machines by providing frictionless, non-wearing, linear movement and radial support for the machines as well as a gas clearance seal by maintaining extremely tight clearances between piston and cylinder.

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악조건하의 비동일평면 카메라 교정을 위한 알고리즘

  • Ahn, Taek-Jin;Lee, Moon-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.12
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    • pp.1001-1008
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    • 2001
  • This paper presents a new camera calibration algorithm for ill-conditioned cases in which the camera plane is nearly parallel to a set of non-coplanar calibration boards. for the ill-conditioned case, most of existing calibration approaches such as Tsais radial-alignment-constraint method cannot be applied. Recently, for the ill-conditioned coplanar calibration Lee&Lee[16] proposed an iterative algorithm based on the least square method. The non-coplanar calibration algorithm presented in this paper is an iterative two-stage procedure with extends the previous coplanar calibration algorithm. Through the first stage, camera, position and orientation parameters as well as one radial distortion factor are determined optimally for a given data of the scale factor and the focal length. In the second stage, the scale factor and the focal length are locally optimized. This process is repeated until any improvement cannot be expected any more Computational results are provided to show the performance of the algorithm developed.

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Numerical Analysis of Tip Clearance Effects in a Micro Radial Inflow Turbine

  • Watanabe, Naoki;Teramoto, Susumu;Nagashima, Toshio
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2004.03a
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    • pp.622-627
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    • 2004
  • There are many difficulties in realizing Ultra-micro gas turbine system. Among them, the effects of tip clearance upon the micro turbine flowfield are discussed in this paper. The flowfield was investigated numerically with the Reynolds-averaged three-dimensional thin-layer Navier-Stokes equations. Calculations were conducted with clearance height from 0% to 10% of the passage height. Leakage mass flow and deterioration of efficiency are proportional to the clearance height for the clearance height larger than 4%. However, in the case of 2% clearance, leakage flow is significantly reduced due to relative motion of the casing and as a result deterioration of efficiency is very small. It is difficult to control tip clearance in micro turbines, but the results of this study indicate that if the clearance height is controlled within a few per-cent of passage height, deterioration of stage performance will be small.

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A Study on the System Identification based on Neural Network for Modeling of 5.1. Engines (S.I. 엔진 모델링을 위한 신경회로망 기반의 시스템 식별에 관한 연구)

  • 윤마루;박승범;선우명호;이승종
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.5
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    • pp.29-34
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    • 2002
  • This study presents the process of the continuous-time system identification for unknown nonlinear systems. The Radial Basis Function(RBF) error filtering identification model is introduced at first. This identification scheme includes RBF network to approximate unknown function of nonlinear system which is structured by affine form. The neural network is trained by the adaptive law based on Lyapunov synthesis method. The identification scheme is applied to engine and the performance of RBF error filtering Identification model is verified by the simulation with a three-state engine model. The simulation results have revealed that the values of the estimated function show favorable agreement with the real values of the engine model. The introduced identification scheme can be effectively applied to model-based nonlinear control.

Neuro-Adaptive Control of Robot Manipulator Using RBFN (RBFN를 이용한 로봇 매니퓰레이터의 신경망 적응 제어)

  • 김정대;이민중;최영규;김성신
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.1
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    • pp.38-44
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    • 2001
  • This paper investigates the direct adaptive control of nonlinear systems using RBFN(radial basis function networks). The structure of the controller consists of a fixed PD controller and a RBFN controller in parallel. An adaptation law for the parameters of RBFN is developed based on the Lyapunov stability theory to guarantee the stability of the overall control system. The filtered tracking error between the system output and the desired output is shown to be UUB(uniformly ultimately bounded). To evaluate the performance of the controller, the proposed method is applied to the trajectory contro of the two-link manipulator.

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Recognition of Unconstrained Handwritten Digits Using Raised Cosine RBF Neural Networks (Raised Cosine RBF 신경망을 이용한 무제약 필기체 숫자 인식)

  • 박준근;김상희;박원우
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.1
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    • pp.48-53
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    • 2002
  • In this paper, we presented a new approach to the recognition of unconstrained handwritten numerals using an improved RBF(Radial Basis Function) Neural Networks. The RBF Neural Networks used Raised Cosine as a basis function to improve discrimination and reduce processing time. The performance of Raised Cosine RBF Neural Networks classifier was evaluated using totally unconstrained handwritten numeral database of Concordia University, Montreal, Canada, and the experimental results showed the recognition rate of 98.05%.

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