• Title/Summary/Keyword: on-line modeling

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Performance improvement of active noise control using on-line estimation of secondary path transfer function (부가경로 전달함수의 온라인 예측에 의한 능동소음제어의 성능 향상)

  • Kim, Heung-Seob;Sohn, Dong-Gu;Oh, Jae-Eung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.2
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    • pp.281-287
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    • 1997
  • In the conventional inverse modeling method for on-line modeling of the secondary path transfer function, the signal to noise ratio between the arbitrary random signal and the plant noise have to keep at -10 - -20 dB. For these reasons, the modeling can't be exactly implemented by the conventional method alone and the convergence time for modeling becomes too long. In this study, by combining the conventional inverse modeling method with an adaptive line enhancer, or with an adaptive noise canceller, a rigorous transfer functions of secondary path modeling and the control of a primary noise have been implemented simultaneously.

A Robust Nonlinear Control Using the Neural Network Model on System Uncertainty (시스템의 불확실성에 대한 신경망 모델을 통한 강인한 비선형 제어)

  • 이수영;정명진
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.5
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    • pp.838-847
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    • 1994
  • Although there is an analytical proof of modeling capability of the neural network, the convergency error in nonlinearity modeling is inevitable, since the steepest descent based practical larning algorithms do not guarantee the convergency of modeling error. Therefore, it is difficult to apply the neural network to control system in critical environments under an on-line learning scheme. Although the convergency of modeling error of a neural network is not guatranteed in the practical learning algorithms, the convergency, or boundedness of tracking error of the control system can be achieved if a proper feedback control law is combined with the neural network model to solve the problem of modeling error. In this paper, the neural network is introduced for compensating a system uncertainty to control a nonlinear dynamic system. And for suppressing inevitable modeling error of the neural network, an iterative neural network learning control algorithm is proposed as a virtual on-line realization of the Adaptive Variable Structure Controller. The efficiency of the proposed control scheme is verified from computer simulation on dynamics control of a 2 link robot manipulator.

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Pipe Offset Routing Program By Using 3D CAD For Shipbuilding (조선전용 3차원 CAD 시스템을 이용한 Pipe Offset Routing 프로그램 개발)

  • Kim, Sung-Min;Sheen, Dong-Mok
    • Journal of the Society of Naval Architects of Korea
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    • v.45 no.4
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    • pp.432-440
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    • 2008
  • Korean shipbuilders are starting to use three dimensional solid CAD systems to enhance their competitiveness in design and production. Despite many merits, three dimensional CAD systems reveal some problems in pipe-line modeling. Pipe-line modeling is heavily dependent on point data in routing. However, since the models built by sweeping or skinning operations do not have data about points and lines on the surfaces, the point data for routing are currently manually calculated by considering the diameters of the pipes and alignment conditions with other pipes. This process is inefficient and prone to errors. In order to enhance the pipe modeling, this paper presents an Offset Routing Program for a three dimensional CAD system, which aids designers to easily define the start points and to generate the pipe routings using reference objects.

동적 비선형 신호의 온라인 모델링

  • 한정희;왕지남
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.371-376
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    • 1994
  • This paper presents an on-line modeling method approach for the machine condition. the machine condition is continuously monitored with a sensor such as, a vibration, a current, an acoustic emission (AE) sensor. In this study, neural network modeling by radial basis function is designed for analysis a prediction error. An on-line learning algorithm is designed using the RLS(recursive least square) estimation and the existing clustering method of Kohonen neural network. Experimental results show that the proposed RBNN modeling is suitable for predicting simulated data.

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A Tool for Workflow-based Product Line Software Development (워크플로우 기반의 제품라인 소프트웨어 개발 지원 환경)

  • Yang, Jin-Seok;Kang, Kyo C.
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.6
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    • pp.377-382
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    • 2013
  • A convergence software development methodology based on product line engineering provides an architecture model for application development and it also provides workflow as a behavior specification of control component development to develop transaction centric application. To effect a change on software development based on product line engineering it has to be supported by a tool. But almost workflow modeling tools dose not support product line engineering concept. So we need new workflow modeling tool to support the convergence software development methodology. In this paper, we introduce a toolset for workflow modeling that consists of eclipse plug-in applications and open source tool and describe the relationships of tools through example.

A study on the channel modeling for power line communication (전력선 통신 채널 모델링에 관한 연구)

  • Jeong Young-Hwa
    • The Journal of Information Technology
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    • v.6 no.3
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    • pp.1-10
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    • 2003
  • This paper is concerned with a power line channel modeling for the more fast and efficiently power line communication experiment. A capacitor load channel simulator is a essential equipment in the power line modem development for in-house network. We accomplished a channel modelling by the frequency response method about the total 298 capacitor load channels. This channel data is acquired by the capacitor load simulator modeling a real power line channel environment. When the experiment results acquired from the capacitor load simulator were compared with the result from a channel filter, we confirmed to substitute capacitor load experiments on the actual power line communication without big error.

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On-line Modeling for Nonlinear Process Systems using the Adaptive Fuzzy-Neural Network (적응 퍼지-뉴럴 네트워크를 이용한 비선형 공정의 On-line 모델링)

  • Park, Chun-Seong;Oh, Sung-Kwun;Kim, Hyun-Ki
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.537-539
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    • 1998
  • In this paper, we construct the on-line model structure for the nonlinear process systems using the adaptive fuzzy-neural network. Adaptive fuzzy-neural network usually consists of two distinct modifiable structure, with both, the premise and the consequent part. These two parts can be adapted by different optimization methods, which are the hybrid learning procedure combining gradient descent method and least square method. To achieve the on-line model structure, we use the recursive least square method for the consequent parameter identification of nonlinear process. We design the interface between PLC and main computer, and construct the monitoring and control simulator for the nonlinear process. The proposed on-line modeling to real process is carried out to obtain the effective and accurate results.

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Analysis for Autotransformer-Fed AC Electric Railroad System Using Constant Current Mode (정전류 철도 부하를 이용한 교류 전기 철도 급전 시스템 해석)

  • 이승혁;정현수;김진오
    • Proceedings of the KSR Conference
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    • 2001.10a
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    • pp.329-334
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    • 2001
  • This paper presents exact autotransformer-fed AC electric railroad system modeling using constant current mode. The theory is based on the solution of algebraic. The proposed modeling is considered the line self-impedances and mutual-impedances. Besides, the load modeling improved results are obtained as application to the proposed constant current mode. In the analysis on AT-fed AC electric railroad system circuit, a generalized analysis method using the loop equation on a case by case. the simulation objectives are to calculate the catenary and rail voltages with respect to ground, as the train moves along a section of line between two adjacent ATs. The model contains assumptions regarding the representation of the autotransformer, the impedance of the track/catenary system, and the grounding arrangements, which all effect the accuracy of the result. The modeling results seem very reasonable. It is established that techniques for the AC electric railroad system modeling and analysis.

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Modeling and Transient Analysis of Cable in Combined Transmission Line with HIF and Analysis of Transient Characterstic in CCPU of Uderground Cable (혼합송전선로에서 고저항 지락사고시 케이블 과도현상 해석 및 전력케이블 시스 접지저항에 따른 CCPU 과도특성 모의)

  • Jung, Che-Kyun;Lee, Jong-Beom
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.446-448
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    • 2000
  • This paper discribes the modeling and transient analysis of cable in combined transmission line under high impedance fault(HIF). And also, transient characterstic analyzed on cable covering protection unit(CCPU) is presented. Modeling of the combined transmission line is established in PSCAD/EMTDC V3. The required data to analyze the transient phenomena is given from the actual system. The results show the HIF modeling in cable, fault current according to the value of fault resistance. And also when the value and method of grounding resistance is changed in CCPU, simulation results are presented.

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A Basic Study on the Modeling for Analysis of Superconducting Cable (초전도케이블 해석용 모델링에 관한 기초연구)

  • 김남열;정채균;이종범
    • Proceedings of the Korea Institute of Applied Superconductivity and Cryogenics Conference
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    • 2002.02a
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    • pp.267-270
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    • 2002
  • It is very important to analyze the superconducting power cables by the modeling for correct and reasonable cable design suitable for the domestic situation of power systems. This paper describes the basic modeling for superconducting power cables using ATPDraw. And also it is shown the line constants of cold dielectric coaxial type which is one of the HTS cables. It is compared with the line constants of general two kinds of power cables(OF, XLPE).

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