• Title/Summary/Keyword: Modeling Scheme

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Design of a DSP-Based Adaptive Controller for Real Time Dynamic Control of AM1 Robot

  • S. H. Han;K. S. Yoon;Lee, M. H.;Kim, S. K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.100-104
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    • 1998
  • This paper describes the real-time implementation of an adaptive controller fur the robotic manipulator. Digital signal processors(DSPs) are special purpose micro-processors that are particularly powerful for intensive numerical computations involving sums and products of variables. TMS320C50 chips are used in implementing real time adaptive control algorithms to provide an enhanced motion for robotic manipulators. In the proposed scheme, adaptation laws are derived from the improved Lyapunov second stability analysis based on the direct adaptive control theory. The adaptive controller consists of an adaptive feedforward controller and feedback controller. The proposed control scheme is simple in structure, fast in computation, and suitable for real-time control. Moreover, this scheme does not require any accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the adaptive controller is illustrated by simulation and experimental results for a assembling robot.

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A Study on EC Strategic Classification Scheme (EC 전략유형분류체계에 관한 연구)

  • 조선구;이국철
    • Proceedings of the Korea Database Society Conference
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    • 1999.10a
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    • pp.69-91
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    • 1999
  • EC의 도입이 국가 및 기업의 국제경쟁력향상을 확보하기 위한 필연적인 해결책이라는 인식하에서, EC의 경쟁력 향상을 위한 유형별 전략모형을 제시함으로서 EC 도입전략의 가이드라인 제공을 목적으로 한다. 구체적으로는 1) Developing strategically classified models and Modeling the structured service of EC to verify the models. (중략)

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Structure Identification of a Neuro-Fuzzy Model Can Reduce Inconsistency of Its Rulebase

  • Wang, Bo-Hyeun;Cho, Hyun-Joon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.276-283
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    • 2007
  • It has been shown that the structure identification of a neuro-fuzzy model improves their accuracy performances in a various modeling problems. In this paper, we claim that the structure identification of a neuro-fuzzy model can also reduce the degree of inconsistency of its fuzzy rulebase. Thus, the resulting neuro-fuzzy model serves as more like a structured knowledge representation scheme. For this, we briefly review a structure identification method of a neuro-fuzzy model and propose a systematic method to measure inconsistency of a fuzzy rulebase. The proposed method is applied to problems or fuzzy system reproduction and nonlinear system modeling in order to validate our claim.

Acoustic Modeling and Energy-Based Postprocessing for Automatic Speech Segmentation (자동 음성 분할을 위한 음향 모델링 및 에너지 기반 후처리)

  • Park Hyeyoung;Kim Hyungsoon
    • MALSORI
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    • no.43
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    • pp.137-150
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    • 2002
  • Speech segmentation at phoneme level is important for corpus-based text-to-speech synthesis. In this paper, we examine acoustic modeling methods to improve the performance of automatic speech segmentation system based on Hidden Markov Model (HMM). We compare monophone and triphone models, and evaluate several model training approaches. In addition, we employ an energy-based postprocessing scheme to make correction of frequent boundary location errors between silence and speech sounds. Experimental results show that our system provides 71.3% and 84.2% correct boundary locations given tolerance of 10 ms and 20 ms, respectively.

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Recovering the Elevation Map by Stereo Modeling of the Aerial Image Sequence (연속 항공영상의 스테레오 모델링에 의한 지형 복원)

  • 강민석;김준식;박래홍;이쾌희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.9
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    • pp.64-75
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    • 1993
  • This paper proposes a recovering technique of the elevation map by stereo modeling of the aerial image sequence which is transformed based on the aircraft situation. The area-based stereo matching method is simulated and the various parameters are experimentally chosen. In a depth extraction step, the depth is determined by solving the vector equation. The equation is suitable for stereo modeling of aerial images which do not satisfy the epipolar constraint. Also, the performance of the conventional feature-based matching scheme is compared. Finally, techniques analyzing the accuracy of the recovered elevation map (REM) are described. The analysis includes the error estimation for both height and contour lines, where the accuracy is based on the measurements of deviations from the estimates obtained manually. The experimental results show the efficiency of the proposed technique.

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A Compact and Efficient Polygonal Mesh Representation (간결하고 효율적인 폴리곤 메쉬의 표현 구조)

  • Park S. K.;Lee S. H.
    • Korean Journal of Computational Design and Engineering
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    • v.9 no.4
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    • pp.294-305
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    • 2004
  • Highly detailed geometric models are rapidly becoming commonplace in computer graphics and other applications. These complex models, which is often represented as complex1 triangle meshes, mainly suffer from the vast memory requirement for real-time manipulation of arbitrary geometric shapes without loss of data. Various techniques have been devised to challenge these problems in views of geometric processing, not a representation scheme. This paper proposes the new mesh structure for the compact representation and the efficient handling of the highly complex models. To verify the compactness and the efficiency, the memory requirement of our representation is first investigated and compared with other existing representations. And then we analyze the time complexity of our data structure by the most critical operation, that is, the enumeration of the so-called one-ring neighborhood of a vertex. Finally, we evaluate some elementary modeling functions such as mesh smoothing, simplification, and subdivision, which is to demonstrate the effectiveness and robustness of our mesh structure in the context of the geometric modeling and processing.

A study on the Robust Control Cain Selection Scheme of a High-Speed/High-Accuracy position Control System using Taguchi Method (다꾸지 방법을 이용한 고속/정밀 위치제어시스템의 강인한 제어게인 선정에 관한 연구)

  • 신호준;채호철;윤석찬;장진희;한창수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.521-527
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    • 2002
  • This paper presents a dynamic modeling and a robust PID controller design process for the wire bonder head assembly. For the modeling elements, the system is divided into electrical system, magnetic system, and mechanical system. Each system is modeled by using the bond graph method. The PID controller is used for high speed/high accuracy position control of the wire bonder assembly. The Taguchi method is used to evaluate the more robust PID gain combinations than conventional one. This study makes use of an L18 array with three parameters varied on three levels. Computer simulations and experimental results show that the designed PID controller provides more improved signal to noise ratio and reduced sensitivity than the conventional PID controller.

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Modeling and Simulation Analysis of Grid-Connected Photovoltaic Generation System in terms of Dynamic behavior (계통연계형 태양광발전시스템의 동특성 모델링 및 모의해석)

  • Kim, Eung-Sang;Kim, Seul-Ki
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.127-131
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    • 2005
  • The paper addresses modeling and analysis of a grid-connected photovoltaic generation system (PV system). PSCAD/EMIDC. an industry standard simulation tool for studying the transient behavior of electric power system and apparatus. is used to conduct all aspects of model implementation and to carry out extensive simulation study. An equivalent circuit model of a solar cell has been used for modeling solar array. A PWM voltage source inverter (VSI) and its current control scheme have been implemented. A maximum power point tracking (MPPT) technique is employed for drawing the maximum available energy from the PV array. Comprehensive simulation results are presented to examine PV array behaviors and PV system control performance in response to irradiation changes. In addition, dynamic responses of PV array and system to network fault conditions are simulated and analysed

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A Sliding Mode Control of Robot Manipulator Operated Under the Sea (해저작업 로봇 매니퓰레이터의 슬라이딩 모드 제어)

  • Park, H.S.;Park, H.I.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.12
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    • pp.106-113
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    • 1996
  • This paper presents a modeling of undersea robot manipulators and a control scheme appropriate for manipulating the manipulators working under the unstrcuctured sea water environment. Under the sea, the added mass and added moment of inertia, buoyancy, and drag forces should be considered in modeling the dynamics of the robot manipulators. Due to the complexity of them, the desired dynamics of manipulators can not be accomplished by the conventional control schemes. Hence, a sliding mode control is applied to control the modeling error.

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Modeling of Superconducting Transformer using PSCAD/EMTDC (PSCAD/EMTDC를 이용한 초전도 변압기 모델링)

  • Lim, Chae-Hyung;Park, Min-Won;Yu, In-Keun
    • Proceedings of the KIEE Conference
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    • 2003.04a
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    • pp.37-39
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    • 2003
  • This paper Presents an effective modeling scheme of high temperature superconducting transformer. So far there were numerical modeling and designs for conventional transformers for various applications. Recently, the interest and the R&D in superconducting technology and devices such as superconducting generator, motor, cable, fault current limiter and transformer have been increased gradually. With those interests, this paper proposes a simulation model of high temperature superconducting transformer using PSCAD/EMTDC, which can be applied to the utility network simulation readily under various system conditions.

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