• Title/Summary/Keyword: 비선형부하

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Prediction of Equivalent Elastic Modulus for Flexible Textile Composites according to Waviness Ratio of Fiber Tows (섬유다발의 굴곡도에 따른 유연직물복합재료의 등가탄성계수 예측)

  • Suh, Young-W.;Kim, Sung-Joon;Ahn, Seok-Min
    • Aerospace Engineering and Technology
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    • v.9 no.2
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    • pp.73-79
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    • 2010
  • In this study, the equivalent elastic modulus of flexible textile composites was predicted by nonlinear finite element analysis. The analysis was carried out considering the material nonlinearity of fiber tows and the geometrical nonlinearity during large deformation using commercial analysis software, ABAQUS. To account for the geometrical nonlinearity due to the large shear deformation of fiber tows, a user defined material algorithm was developed and inserted in ABAQUS. In results, nonlinear stress-strain curve for the flexible textile composites under uni-axial tension was predicted from which effective elastic modulus was obtained and compared to the test result. The effective elastic moduli were calculated for the various finite element models with different waviness ratio of fiber tow.

Development of a Vision Based Machine Tool Presetter (영상 기반 머신툴 프리세터 개발)

  • Jung, Ha-Hyoung;Kim, Tae-Tean;Park, Jin-Ha;Lyou, Joon
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.3
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    • pp.49-56
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    • 2014
  • Generally, the tool presetter is utilized to align and measure some specific dimensions of a machine tool. It is classified into two types(contact and contactless) according to the measurement method, and the optical sensor based contactless scheme has the advantages of measurement flexibility and convenience. This paper describes the design and realization of an industrial tool presetter using machine vision and linear scaler. Before measurement, the objective tool is attached to the mechanical mount and is aligned with the optical apparatus. After capturing tool images, the suggested image processing algorithm calculates its dimesions accurately, combining the traversing distance from the linear scaler. Experimental results conforms that the present tool presetter system has the precision within ${\pm}20um$ error.

Case Study on Influential Factors of Nonlinear Response History Analysis - Focused on 1989 Loma Prieta Earthquake - (비선형 응답이력해석의 영향인자에 대한 사례연구 - 1989 Loma Prieta 지진 계측기록을 중심으로 -)

  • Liu, Qihang;Lee, Jin-Sun
    • Journal of the Korean Geotechnical Society
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    • v.33 no.12
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    • pp.45-58
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    • 2017
  • As many seismic codes for various facilities are changed into a performance based design code, demand for a reliable nonlinear response-history analysis (RHA) arises. However, the equivalent linear analysis has been used as a standard approach since 1970 in the field of site response analysis. So, the reliability of nonlinear RHA should be provided to be adopted in replace of equivalent linear analysis. In this paper, the reliability of nonlinear RHA is reviewed for a layered soil layer using Loma Prieta earthquake records in 1989. For this purpose, the appropriate way for selecting nonlinear soil models and the effect of base boundary condition for 3D analysis are evaluated. As a result, there is no significant differences between equivalent linear and nonlinear RHA. In case of 3D analysis, absorbing boundary condition should be applied at base to prevent rocking motion of the whole model.

Tracking Control of a Sampled Nonlinear System via Fuzzy Logic Theory (퍼지제어 이론을 이용한 샘플된 비선형 시스템의 추적제어에 대한 연구)

  • 김은태
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.6
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    • pp.69-75
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    • 2003
  • This paper presents a fuzzy logic based approach to tracking control of a sampled nonlinear system. It is assumed that the plant to be controlled is under both the internal uncertainty and the external disturbances. Discrete-time adaptive fuzzy control method is proposed and its parameters are determined by the recently-spolighted convex optimization technique called LMI. Finally, the computer simulation is tarried out to verify the effectiveness of the proposed method.

Analysis for Power Capacitor Characteristics by Linear and Non-linear Load Operation (선형 및 비선형 부하의 운전시 커패시터 동작 특성 분석)

  • Lee, Eun-Woong;Lee, Dong-Ju;Kim, Il-Joong;Kim, Jong-Gyeum;Park, Young-Jeen
    • Proceedings of the KIEE Conference
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    • 2008.04c
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    • pp.22-25
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    • 2008
  • 전력용 커패시터는 부하에 필요한 무효전력을 대신 공급함으로써 공급전력을 줄여 역률을 개선하시키고, 전압을 안정시키며, 손실의 저감으로 전원용량을 증대할 수 있는 등 여러 가지 장점을 가지고 있다. 그러나 전압 불평형과 같은 전기품질의 저하와 비선형 부하등과의 혼합 사용시 전압 및 전류 등의 증가로 인해 전기적인 스트레스를 받게 된다. 본 논문에서는 선형 및 비선형 부하의 사용시 역률 보상으로 운전되고 있는 커패시터가 어떤 특성변화를 나타내는지에 대해 유도성 부하와 컨버터 회로를 사용하여 모의를 실시하였다.

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Delay-Dependent Criterion for Asymptotic Stability of Neutral Systems with Nonlinear Perturbations (비선형 섭동을 갖는 뉴트럴 시스템의 점근 안정을 위한 지연시간 종속 판별식)

  • Park, Ju-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.37 no.6
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    • pp.1-6
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    • 2000
  • In this paper, the problem of the stability analysis for linear neutral delay-differential systems with nonlinear perturbations is investigated. Using Lyapunov second method, a new delay-dependent sufficient condition for asymptotic stability of the systems in terms of linear matrix inequalities (LMIs), which can be easily solved by various convex optimization algorithms, is presented. A numerical example is given to illustrate the proposed method.

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Design of RBF-based Polynomial Neural Network And Optimization (방사형 기저 함수 기반 다항식 뉴럴네트워크 설계 및 최적화)

  • Kim, Ki-Sang;Jin, Yong-Ha;Oh, Sung-Kwun
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1863_1864
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    • 2009
  • 본 연구에서는 복잡한 비선형 모델링 방법인 RBF 뉴럴 네트워크(Radial Basis Function Neural Network)와 PNN(Polynomial Neural Network)을 접목한 새로운 형태의 Radial Basis Function Polynomial Neural Network(RPNN)를 제안한다. RBF 뉴럴 네트워크는 빠른 학습 시간, 일반화 그리고 단순화의 특징으로 비선형 시스템 모델링 등에 적용되고 있으며, PNN은 생성된 노드들 중에서 우수한 결과값을 가진 노드들을 선택함으로써 모델의 근사화 및 일반화에 탁월한 효과를 가진 비선형 모델링 방법이다. 제안된 RPNN모델의 기본적인 구조는 PNN의 형태를 이루고 있으며, 각각의 노드는 RBF 뉴럴 네트워크로 구성하였다. 사용된 RBF 뉴럴 네트워크에서의 커널 함수로는 FCM 클러스터링을 사용하였으며, 각 노드의 후반부는 다항식 구조로 표현하였다. 또한 입력개수, 입력변수, 클러스터의 개수를 PSO알고리즘(Particle Swarm Optimization)을 사용하여 최적화 시켰다. 제안한 모델의 적용 및 유용성을 비교 평가하기 위하여 비선형 데이터를 이용하여 그 우수성을 보인다.

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Control Method of on Unknown Nonlinear System Using Dynamical Neural Network (동적 신경회로망을 이용한 미지의 비선형 시스템 제어 방식)

  • 정경권;김영렬;정성부;엄기환
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.494-497
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    • 2002
  • In this paper, we proposed a control method of an unknown nonlinear system using a dynamical neural network. The proposed method performs for a nonlinear system with unknown system, identification with using the dynamical neural network, and then a nonlinear adaptive controller is designed with these identified informations. In order to verify the effectiveness of the proposed method, we simulated one-link manipulator. The simulation results showed the effectiveness of using the dynamical neural network in the adaptive control of one-link manipulator.

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Performance improvement of an indirect current control technique under nonlinear load conditions (비선형 부하 적용 시 간접전류제어 기법의 성능 개선)

  • Lee, Byoung-Seoup;Kang, Duk-Hong;Lee, Kyo-Beum;Choi, Se-Wan;Choi, Woo-Jin
    • Proceedings of the KIPE Conference
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    • 2010.11a
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    • pp.269-270
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    • 2010
  • 본 논문에서는 간접전류제어 기반 계통연계 시스템의 비선형 부하에 의한 출력왜곡 보상기법을 제안한다. 계통사고 발생 시 시스템은 비선형 부하에 지속적인 전력을 공급하기 위하여 의도적인 단독운전을 한다. 이때, 비선형 부하에 의한 출력전류 왜곡과 모드전환 시 전압의 과도상태는 시스템에 심각한 영향을 미칠 수 있다. 제안하는 간접전류제어 기법은 모드전환 시 전압의 과도상태가 없어 안전한 의도적인 단독운전이 가능하며 전류왜곡 보상기법을 추가하여 출력전류의 품질을 개선한다. 2kW급 시뮬레이션을 통해 제안하는 제어기법의 타당성을 입증한다.

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An Analytical Study on Semi-Rigid Connections of 20-Story Braced Steel Structures (20층 가새 철골구조물의 반강접 접합부에 관한 해석적 연구)

  • Kang, Suk-Bong;Kim, Jin-Hyoung
    • Journal of Korean Society of Steel Construction
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    • v.12 no.1 s.44
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    • pp.1-8
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    • 2000
  • In this study, the effect of semi-rigid connections on the structural behavior of 20-story braced steel structure has been investigated utilizing the second-order elastic structural analysis program in which nonlinear behavior of beam-column connections and geometric nonlinearity have been considered. Global effects such as P-delta effect and sway at the top have been studied, as well as distribution of member force and combined stress in structural members as local effects. When the structure subjected to horizontal load and vertical load is equipped with lateral-load resisting system such as braces, replacement of shear connection with semi-rigid connection has not caused any problem in P-delta effect and top lateral displacement. Distribution of member forces resulted in reduction in member size for economic structural design.

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