• Title/Summary/Keyword: ARX 모델

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Development of Connection Model based on FE Analysis to Ensure Stability of Steel Storage Racks (적재설비 안정성 확보를 위한 FE 해석 기반의 연결부 모델 개발)

  • Heo, Gwanghee;Kim, Chunggil;Yu, Darly;Jeon, Jongsu;Lee, Chinok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.2
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    • pp.349-356
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    • 2018
  • This paper attempts to develop a connection model based on FE analysis that can be applied to the evaluation of earthquake fragility of Steel Storage Racks lacking research in Korea. In order to accomplish this goal, shaking table tests, modal tests, and various member tests (8 case, push-over test) for structural members have been conducted to understand the behavior of steel storage racks. Based on the experimental results, detailed modeling of the joints was conducted using the NX-Nastran program in order to develop a connection model for Steel storage racks to be applied to the seismic vulnerability assessment. Especially, surface to surface contact element and spring element are applied to simulate the connection between the column member and the beam member connected by the simple latch method. Spring element model developed and applied ARX (Auto Regressive eXogenous) based mathematical model. The simulation results based on the FE model showed excellent reliability with a mutual error rate of less than 8% when compared with the member test results. As a result, it was confirmed that the FE model based connection model developed in the study can be applied to the analytical model for the seismic vulnerability assessment of Steel storage racks.

Estimation of the Central Aortic Pulse using Transfer Function and Improvement of an Augmentation Point Detection Algorithm (전달함수를 이용한 대동맥 맥파 추정 및 증강점 검출 알고리즘 개선에 관한 연구)

  • Im, Jae-Joong
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.3
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    • pp.68-79
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    • 2008
  • Aortic AIx(augmentation index) has been used to measure aortic stiffness quantitatively and even to evaluate ventricular load. However, in order to calculate aortic AIx catheters should be inserted to the subjects' artery, which hampers its clinical usage. To overcome such limitation, aortic AIx has been indirectly calculated by estimating aortic pressure wave from the peripheral arterial pulse by applying transfer functions. In this study, central aortic pressure waves using Millar catheter and radial artery pulse waves using tonometry pressure sensor were measured to establish transfer functions for an estimation of central aortic pressure waves from radial artery pulse waves. Also, an algorithm which detects augmentation point for the calculation of AIx were developed. Developed algorithm for the detection of augmentation point gradually increases the differential order to detect inflection point rather than detects the distinctive point that appears after a specific time. Transfer functions were established using 10th order ARX model and were verified for the stability of the transfer function through residual analysis. Evaluation of an algorithm for the detection of augmentation point were performed by comparing the augmentation points obtained from developed algorithm with the known augmentation points synthesized in various conditions. In addition, developed algorithm for the AIx is proved to provide more accurate results than the ones developed by previous studies. The significance of the study was in two folds. Firstly, the results could provide the basis for the measurement of aortic stiffness using easily-measurable radial artery pulse waves, and secondly, extension of the study may enable the early diagnosis of various vascular diseases.

Model Identification for Control System Design of a Commercial 12-inch Rapid Thermal Processor (상업용 12인치 급속가열장치의 제어계 설계를 위한 모델인식)

  • Yun, Woohyun;Ji, Sang Hyun;Na, Byung-Cheol;Won, Wangyun;Lee, Kwang Soon
    • Korean Chemical Engineering Research
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    • v.46 no.3
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    • pp.486-491
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    • 2008
  • This paper describes a model identification method that has been applied to a commercial 12-inch RTP (rapid thermal processing) equipment with an ultimate aim to develop a high-performance advanced controller. Seven thermocouples are attached on the wafer surface and twelve tungsten-halogen lamp groups are used to heat up the wafer. To obtain a MIMO balanced state space model, multiple SIMO (single-input multiple-output) identification with highorder ARX models have been conducted and the resulting models have been combined, transformed and reduced to a MIMO balanced state space model through a balanced truncation technique. The identification experiments were designed to minimize the wafer warpage and an output linearization block has been proposed for compensation of the nonlinearity from the radiation-dominant heat transfer. As a result from the identification at around 600, 700, and $800^{\circ}C$, respectively, it was found that $y=T(K)^2$ and the state dimension of 80-100 are most desirable. With this choice the root-mean-square value of the one-step-ahead temperature prediction error was found to be in the range of 0.125-0.135 K.

The Study of Parameter Identification of Dynamical Systems us ins Genetic Algorithms (유전 알고리즘을 이용한 동적 시스템의 파라미터 동정에 관한 연구)

  • 김수정;김영탁;문희근;김관형;이상배
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.203-206
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    • 2002
  • 동적 시스템의 동정은 시스템의 관측된 데이터를 가지고 동적 모델의 수학적 모델을 찾는 문제를 다루는 것이다. 기존의 고전적인 방법으로는 차분 방정식(ARX 또는 ARMAX) 또는 상태 공간 표현에 관한 계수들을 추정하기 위해서 회귀 기법 등을 사용하였다. 그러나 이러한 고전적인 방법들은 파라미터가 비선형이고, 실세계 문제에서 모델링 오차나 측정 잡음을 수반하게 되면 탐색의 어려움을 가지게 된다. 따라서 이러한 문제점을 극복하고자 퍼지 이론이나 신경망 이론 둥이 이용되었으나 본 논문에서는 비선형 동적 시스템의 파라미터 동정에 최근 복잡한 최적화 문제를 해결하는 도구로 점점 관심을 받고 있는 유전 알고리즘을 동정 알고리즘으로 제안하고, 비선형 동적 시스템의 파라미터 동정에 유전 알고리즘을 응용한 몇 가지 예를 제시하고자 한다.

State Estimation of Turbojet Engine Using Nonlinear Model (모델추정 기법을 이용한 터보제트엔진의 상태추정)

  • Kim, Jung-Hoe;Gim, Dong-Choon;Lee, Sang-Jeong
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2012.05a
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    • pp.268-272
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    • 2012
  • A propulsion controller for vehicles should be designed to overcome a sensor failure during a flight, and it is necessary to control the system properly at any circumstances. Therefore, the vehicles need to retain reliability on the sensor measurements by implementing extra sensors to replace the original control sensors in case of their failure. This paper presents the MIMO NARX model by simulation which substitutes measured values with estimated ones by the state estimation technique in case of a sensor failure in a turbojet engine. It is also presented that the NARX model can be adapted as an engine model in HILS equipments.

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STEP-based Information Management of Steel Bridge Using ACIS Soild Modeler (ACIS 솔리드 모델러를 이용한 STEP기반의 강교량정보 운용체계)

  • 이상호;정연석;김소운
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.371-376
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    • 2004
  • This study presents a way to generate and manage engineering information by applying steel bridge information model with 3D shape to existing application program. ACIS solid modeling kernel is used to visualize 3D geometric shape of steel bridge on the AutoCAD program. The shape information of 3D solid model can be connected to structural design information of steel bridge by an application module based on information model. The application module for manipulating steel bridge information can be easily developed by ObjectARX programming library supporting functional expansion of AutoCAD program. End-users can use the application module without any additional environmental setup on the AutoCAD. Thus this study facilitates information management of steel bridge by using ACIS solid modeler and ISO/STEP methodology.

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A Study on Parametric Model Identification Using Arago's Disk System (아라고 원판 시스템을 이용한 파라미터 모델 식별에 관한 연구)

  • Choi, Soo-Young;Lee, Won-Moo;Kang, Ho-Kyun;Choi, Goon-Ho;Lee, Jong-Sung;Park, Ki-Heon
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2305-2307
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    • 2001
  • Generally, The modeling method for the mathematical model is mdeled by using the physical laws and the system identification. In this paper, The arago's disk system of the operating principle of induction motors is selected as an example for identification. The system transfer function is derived from input/output data through experiment. Model is estimated by using ARX, ARMAX, BJ, OE model structure and compared each other.

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Bang-Bang plus PID Temperature Control Scheme for Rapid Thermal Processing (급속 열처리 공정을 위한 Bang-Bang/PID 온도제어기법)

  • Song, Tae-Seung;Lyu, Joon
    • Journal of IKEEE
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    • v.3 no.1 s.4
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    • pp.109-117
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    • 1999
  • This paper describes the quick and precise control of the wafer temperature essential in rapid thermal processing(RTP). The bang-bang plus PID controller structure is introduced to satisfy rapid ramp-up rate and reduce overshoot and steady state error. The controller employs the PID action when the magnitude of the error between reference signal and the output temperature signal is smaller than some prescribed value. To find PID gains, the plant(autoregressive) model is first identified and Kappa-Tau tuning rule is used. The developed controller is applied to experimental RTP apparatus, and performances are evaluated.

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