• 제목/요약/키워드: Linearization method

검색결과 483건 처리시간 0.027초

Adaptive Control Method for a Feedforward Amplifier

  • 강상기;이희민;홍성용
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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    • pp.108-112
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    • 2003
  • A feedforward amplifier, which is composed of several components, is an open loop system. Therefore, feedforward amplifiers are apt to deteriorate the performance according to the environmental changes even though the cancellation performance and the linearization bandwidth of feedforward systems are superior to other linearization methods. A control method is needed for maintaining the original performance of feedforward amplifiers or to keep the performance within a little error bounds. In this paper, an adaptive control method, which has a good convergence characteristic and is easy to implement, is suggested. The characteristics of the suggested control method compare with the characteristics of other control methods and the simulation results are presented.

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Seismic Capacity Required for the Safety Limit Design of High-rise RC Buildings under Long-period Ground Motions in Osaka, JAPAN and its Estimation Based on the Equivalent Linearization Method

  • Sanada, Yasushi;Yoshida, Hiroki;Awano, Masayuki
    • 국제초고층학회논문집
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    • 제9권4호
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    • pp.315-323
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    • 2020
  • In June 2016, the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) in Japan delivered countermeasures against long-period ground motions caused by strong earthquakes along the Nankai trough. However, the countermeasures do not cover high-rise buildings equal to or shorter than 60 m in height, which do not require earthquake response analyses in the seismic design. Hence, in the present study, earthquake response analyses for such high-rise reinforced concrete (RC) buildings were performed under artificial ground motions assumed in the OS1 and OS2 regions to determine the base shear coefficients that satisfy a given safety demand. Furthermore, the results from the earthquake response analyses were estimated by the authors' proposed method based on the equivalent linearization method, showing good agreement and inspiring suggestions for more accurate and simplified estimations.

동적시스템 확장을 이용한 비선형시스템의 관측기 설계 (Nonlinear Observer Design using Dynamic System Extension)

  • 조남훈
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권11호
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    • pp.760-767
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    • 2004
  • In this paper, we propose sufficient conditions under which nonlinear systems can be transformed into nonlinear observer canonical form in the extended state space by virtue of dynamic system extension. The proposed scheme weakens two major restrictions of observer error linearization technique. Once a nonlinear system is transformed into nonlinear observer canonical form using dynamic system extension, a state observer can be easily designed. Two illustrative examples are included in order to compare the proposed scheme and observer error linearization method.

An equivalent linearization method for nonlinear systems under nonstationary random excitations using orthogonal functions

  • Younespour, Amir;Cheng, Shaohong;Ghaffarzadeh, Hosein
    • Structural Engineering and Mechanics
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    • 제66권1호
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    • pp.139-149
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    • 2018
  • Many practical engineering problems are associated with nonlinear systems subjected to nonstationary random excitations. Equivalent linearization methods are commonly used to seek for approximate solutions to this kind of problems. Compared to various approaches developed in the frequency and mixed time-frequency domains, though directly solving the system equation of motion in the time domain would improve computation efficiency, only limited studies are available. Considering the fact that the orthogonal functions have been widely used to effectively improve the accuracy of the approximated responses and reduce the computational cost in various engineering applications, an orthogonal-function-based equivalent linearization method in the time domain has been proposed in the current paper for nonlinear systems subjected to nonstationary random excitations. In the numerical examples, the proposed approach is applied to a SDOF system with a set-up spring and a SDOF Duffing oscillator subjected to stationary and nonstationary excitations. In addition, its applicability to nonlinear MDOF systems is examined by a 3DOF Duffing system subjected to nonstationary excitation. Results show that the proposed method can accurately predict the nonlinear system response and the formulation of the proposed approach allows it to be capable of handling any general type of nonstationary random excitations, such as the seismic load.

서브모델링과 응력선형화를 이용한 압력용기의 안전성 평가

  • 최재훈;김준영
    • EDISON SW 활용 경진대회 논문집
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    • 제4회(2015년)
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    • pp.234-238
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    • 2015
  • When we use a Finite Elements Method (FEM) to solve a linear static analysis problem, number of elements need to be sufficiently small for convergence of the solution. If we analysis a part, whose curvature is varying heavily, we face to determine how small the elements size is, because the calculated stress is increased as the elements are smaller. In this case, we need to analysis with mesh insensitive method, stress linearization. We can get a solution that is not varying with the elements size if the size is smaller than a certain level. In this paper, we evaluate a pressure vessel having geometrical discontinuities using stress linearization. First, we analysis the vessel with global model, including all part of the vessel, using large shell elements. Second, we analysis the local part of the vessel, which is the small part occurring maximum stress, using small continuum elements. Last, we evaluate the safety of the pressure vessel according to the ASME Sec. VIII Div 2.

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등가선형화방법을 이용한 선체의 불규칙 횡동요 운동의 통계적 해석 (Statistical Analysis of Random Ship Rolling Using Equivalent Linearization Method)

  • 김동수;이원경
    • 대한조선학회논문집
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    • 제30권4호
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    • pp.39-45
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    • 1993
  • 불규칙 해상에서의 선체의 횡동요운동을 해석하기 위하여 등가선형화방법을 사용 하였다. 일자 유도 선형 횡동요운동 모델에다가 2차의 비선형 감쇠항과 3차 및 5차의 비선형 복원 모멘트를 추가 하였으며 불규칙 기진 모멘트는 가우스 백색잡음으로 가정 하였다. 등가선형화 방법을 사용하여 예측한 응답의 통계적 특성을Simulation 결과와 비교 하였다.

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비선형 시스템의 입/출력 선형화 제어기 설계와 입력 시간-지연 보상 (Controller Synthesis of A Nonlinear System Using Input/Output Linearization and Compensation for Input Time-Delay)

  • 최용호;정길도
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2004년도 춘계학술대회
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    • pp.768-773
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    • 2004
  • This work deals with the synthesis of discrete-time nonlinear controller for input time-delay existing nonlinear system and proposes a new effective method to compensate the influence of input time-delay. The controller is synthesised by using input/output linearization. Under the circumstance that input time-delay exist, controller have to produce future value that will be needed for system. On account of this reason described, a weighted average predictor of combined states is adopted. Using the discretization via Euler method, numerical simulations about Van der Pol system are performed to evaluate performance of the proposed method.

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Fuzzy 이론을 이용한 디지털 온도계측 시스템의 구현 (Implementation of Temperature Measurement System Using Fuzzy Theory)

  • 강문성;홍성훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 B
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    • pp.510-512
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    • 1997
  • Measurement errors in a temperature measurement system are mainly due to the consisting elements' accuracies and the circuit parameters' changes following the environment variations such as temperature. Further, system's non-linearity makes the measurement accuracy worse, and accordingly a linearization method should be considered to avoid this worsening. In this study, an error-correction method and a linearization method are proposed and a system utilizing these methods is realized.

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비선형 시스템의 근사 선형화 (Approximate Linearization of Nonlinear Systems)

  • 남광희;이균경;탁민제
    • 대한전기학회논문지
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    • 제40권7호
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    • pp.690-695
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    • 1991
  • The ability to linearize a nonlinear system by feedback and coordinate change reduces to finding an integrating factor for a one-form which is determined from the system dynamics. Utilizing Taylor series expansion of this one-form, we characterize approximate linearizabilitu. A constructive method is derived for approximate linearization up to order 2.

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