• Title/Summary/Keyword: Dynamic error model

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신경회로망을 이용한 무인헬리콥터의 적응출력피드백제어 (Adaptive Output Feedback Control of Unmanned Helicopter Using Neural Networks)

  • 박범진;홍창호;석진영
    • 한국항공우주학회지
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    • 제35권11호
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    • pp.990-998
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    • 2007
  • 불확실한 비선형 다중입출력 시스템에 대해서 신경회로망을 이용한 적응출력피드백제어기법이 제안되었다. 역변환 기반의 제어입력으로부터 불확실한 비선형성을 분리하기 위해 변형된 운동 역변환 모델(Modified Dynamic Inversion Model, MDIM)이 도입되었다. MDIM은 근사된 운동 역변환 모델과 역변환 모델 오차로 구성되었고 한 개의 신경회로망이 MDIM을 보상하는데 적용되었다. 여기서 신경회로망의 출력은 필터링된 근사오차 기반의 제어기를 증대시킨다. 추적성능과 종국적 유계성(ultimate boundedness)을 보장하기 위해 리야프노프의 직접방법(Lyapunov's direct method)으로부터 유도된 온라인 가중치 적응법칙이 이용되었다. 수치적 시뮬레이션을 통해 본 논문의 타당성을 검증하였다.

구조물과 부계통간의 연계방법에 따른 지진응답 분석 (Analysis of Seismic Response due to the Dynamic Coupling Between a Primary Structure and Secondary System)

  • 정광섭;곽신영;최인길;임승현
    • 한국지진공학회논문집
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    • 제24권2호
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    • pp.87-93
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    • 2020
  • Seismic responses due to the dynamic coupling between a primary structure and secondary system connected to a structure are analyzed in this study. The seismic responses are compared based on dynamic coupling criteria and according to the error level in the natural frequency, with the recent criteria being reliant on the error level in the spectral displacement response. The acceleration responses and relative displacement responses of a primary structure and a secondary system for a coupled model and two different decoupled models of two degrees-of-freedom system are calculated by means of the time integration method. Errors in seismic responses of the uncoupled models are reduced with the recent criteria. As the natural frequency of the secondary system increases, error in the natural frequency decreases, but seismic responses of uncoupled models can be underestimated compared to that of coupled model. Results in this paper can help determine dynamic coupling and predict uncoupled models' response conservatism.

NC 선반의 동적이송오차에 관한 연구

  • 여인완;박철우;이상조
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.641-645
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    • 1996
  • Ball screws are used in the feeding system for transmission of driving force. The friction effect between bed and table, which can affect in accuracyin one dimension feeding and describe the dynamic feeding error, could be simplified as a specific model through experiments. The experiments for dynamic feeding errors were performed om tje NC lathe eith a ball screw. The errors in feeding were measured with respect to the variances of feed, spindle speed and motor current for feeding. A rotary encoder and a current sensor were installed with NC lathe.

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국제유가와 소비자물가의 변동 (The Relationship between World Oil Price and Consummer Price Index in Korea)

  • 김영덕
    • 자원ㆍ환경경제연구
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    • 제9권2호
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    • pp.373-391
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    • 2000
  • This paper investigates the existence of a long-run relationship between world oil price and consumer price index for Korea during 1983~1999. The cointegration and error correction modelling approaches have been applied. Empirical results suggest that there exists a long-run relationship among world oil prices. consumer prices, M2 and a production gap variable. The dynamic behavior of the relationship has been investigated by estimating a error correction model, in which the error correction term have been found significant. The error correction model has also been found to be robust as it satisfy almost all relevant diagnostic tests.

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위성체의 강인적응제어 연구 (Robust adaptive control of satellite)

  • 노영환;이상용
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.323-326
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    • 1996
  • In a simple system, the control schemes work well provided that the characteristic of the plant or the coefficients are known and fixed. But the condition is not met in the system like satellite, for example, varying over time and the coefficients of dynamic system change due to disturbance, etc, and the better precise model is required to control the given dynamic system well. Conversely, the fixed controller make the unmodel dynamic system with a wide class of modelling error be stable within the error tolerance limits. Also, a robust model reference adaptive control scheme is designed for the plant, paying attention to the derivation of the appropriate parametric model and the design of the normalizing signal to guarantee that it has the desired properties.

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동특성 측정에 의한 유한요소 모델의 신뢰도 제고 및 파손부위 색출에 관한 연구 (A study on Improving the Reliability of a Finite Elements Model and Stiffness Damage Detection by Dynamic Characteristics Measurements)

  • 박윤식;박형순
    • 대한기계학회논문집
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    • 제10권1호
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    • pp.157-163
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    • 1986
  • 본 연구에서는 기존 유한요소 모델에 실험으로 구한 동특성을 사용하여 불확실성 변수를 고려한 개선된 모델을 구하고 개선된 모델로 부터의 해석 결과와 실험 결과를 비교하였다. 또한 대상물의 파손에 의한 동특성 변화를 측정하고 측정된 신호와 개선된 모델을 사용하여 대상물에서의 파손 위치를 오차행렬로 도시 할수 있는 방법을 연구하였다. 또 각 부재의 동특성에 영향을 주는 민감도를 도입 하여 파손위치를 더욱 명확히 오차행렬에 의한 파손 부위 색출방법이 매우 효과적임을 예제 구조물에서 보여 주었다.

Grouping stocks using dynamic linear models

  • Sihyeon, Kim;Byeongchan, Seong
    • Communications for Statistical Applications and Methods
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    • 제29권6호
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    • pp.695-708
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    • 2022
  • Recently, several studies have been conducted using state space model. In this study, a dynamic linear model with state space model form is applied to stock data. The monthly returns for 135 Korean stocks are fitted to a dynamic linear model, to obtain an estimate of the time-varying 𝛽-coefficient time-series. The model formula used for the return is a capital asset pricing model formula explained in economics. In particular, the transition equation of the state space model form is appropriately modified to satisfy the assumptions of the error term. k-shape clustering is performed to classify the 135 estimated 𝛽 time-series into several groups. As a result of the clustering, four clusters are obtained, each consisting of approximately 30 stocks. It is found that the distribution is different for each group, so that it is well grouped to have its own characteristics. In addition, a common pattern is observed for each group, which could be interpreted appropriately.

역동력학을 이용한 DC 모터의 속도제어 (Spped Control of DC Motors Using Inverse Dynamics)

  • 강원룡
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2000년도 춘계학술대회 논문집(Proceeding of the KOSME 2000 Spring Annual Meeting)
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    • pp.6-10
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    • 2000
  • In this paper a methodology for designing a controller based on inverse dynamics for speed control of DC motors is presented. The proposed controller consists of a low-pass prefilter the inverse dynamic model of a system and the PI controller. The low-pass prefilter prevents high frequency effects from the inverse dynamic model. The model is characterized by a nonlinear friction model. The PI controller regulates the error between the set-point and the system output which is caused by modeling error disturbances and variations f parameters. The parameters of the model and the PI controller are optimized offlinely by genetic algorithm. The experimental results on a DC motor system illustrate the performance of the proposed controller.

초기 기수각 정보가 필요 없는 SDINS의 운항중 정렬 (In-Flight Alignment of SDINS without Initial Heading Information)

  • 홍현수;이장규;박찬국
    • 제어로봇시스템학회논문지
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    • 제8권6호
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    • pp.524-532
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    • 2002
  • This paper presents a new in-flight alignment method for an SDINS under large initial heading error. To handle large heading error, a new attitude error model is introduced. The attitude errors are divided into heading error and leveling errors using a newly defined horizontal frame. Some navigation error dynamic models are derived from the attitude error model for indirect feedback filtering of the in-flight alignment system. A Kalman filter with Position measurement is designed to estimate navigation errors as the indirect feedback filter Simulation results show that the proposed in-flight alignment method reduces the heading error very quickly from more than 40deg to about 5deg so as to apply a refined navigation filter. The total alignment process including leveling mode and navigation mode in addition to the proposed one allows large initial values not only in heading error but also in leveling errors.

순차적 예측오차 방법에 의한 구조물의 모우드 계수 추정 (IDENTIFICATION OF MODAL PARAMETERS BY SEQUENTIAL PREDICTION ERROR METHOD)

  • Lee, Chang-Guen;Yun, Chung-Bang
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1990년도 가을 학술발표회 논문집
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    • pp.79-84
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    • 1990
  • The modal parameter estimations of linear multi-degree-of-freedom structural dynamic systems are carried out in time domain. For this purpose, the equation of motion is transformed into the autoregressive and moving average model with auxiliary stochastic input (ARMAX) model. The parameters of the ARMAX model are estimated by using the sequential prediction error method. Then, the modal parameters of the system are obtained thereafter. Experimental results are given for a 3-story building model subject to ground exitations.

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