• Title/Summary/Keyword: Nonlinear dynamic model

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Behavioral Performance Evaluation of the Moment-Resisting Frame Models Equipped with Seismic Damage Mitigation Systems (지진피해 저감 시스템을 설치한 모멘트 프레임의 거동성능 평가)

  • Joe, Yang Hee;Son, Hong Min;Hu, Jong Wan
    • Journal of the Earthquake Engineering Society of Korea
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    • v.21 no.6
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    • pp.311-322
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    • 2017
  • In this study, the seismic performance of concrete-steel composite moment frame structures equipped with seismic retrofitting systems such as seismic reinforcement, base isolators, and bracing members, which are typical earthquake damage mitigation systems, is evaluated through nonlinear dynamic analyses. A total of five frame models were designed and each frame model was developed for numerical analyses. A total of 80 ground acceleration data were used to perform the nonlinear dynamic analysis to measure ground shear force and roof displacement, and to evaluate the behavioral performance of each frame model by measuring inter-story drift ratios. The analysis results indicate that the retrofitting device of the base isolator make a significant contribution to generating relatively larger absolute displacement than other devices due to flexibility provided to interface between ground and column base. However, the occurrence of the inter-story drift ratio, which is a relative displacement that can detect the damage of the structure, is relatively small compared with other models. On the other hand, the seismic reinforced frame model enhanced with the steel plate at the lower part of the column was found to be the least efficient.

Decentralized Dynamic Output Feedback Controller for Discrete-time Nonlinear Interconnected Systems via T-S Fuzzy Models (이산 시간 비선형 상호 결합 시스템의 T-S 퍼지 모델을 위한 분산 동적 출력 궤한 제어기 설계)

  • Koo, Geun-Bum;Kim, Jin-Kyu;Joo, Young-Hoon;Park, Jin-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.6
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    • pp.780-785
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    • 2007
  • This paper proposes the decentralized dynamic output feedback controller for discrete-time nonlinear interconnected systems using Takagi-Sugeno (T-S) fuzzy model. Through T-S fuzzy model of each subsystem, the decentralized dynamic output feedback controller is designed. By the closed-loop subsystems with controller, it represents the linear matrix inequality (LMI) for stability of whole interconnected system. The value of control gain are obtained by LMI. An example is given to show the experimentally verification discussed throughout the paper.

A Nonlinear Dynamic Engine Modeling for Controller Design (제어기 설계를 위한 비선형 동적 엔진 모델링)

  • 윤팔주;선우명호
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.7
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    • pp.167-180
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    • 1999
  • A control-oriented nonlinear dynamic engine model is developed to represent a spark ignited engine over a wide range of operating conditions. The model includes intake manifold dynamics,. fuel film dynamics, and engine rotational dynamics with transport delays inherent in the four stroke engine cycles. The model is mathematically compact enough to run in real time, and can be used as an embedded model within a control algorithm or an observer. The model is validated with engine-dynamometer experimental data, and can be used in design and development of a powertrain controller.

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Dynamic Interaction Analysis of Train-bridge Considering Rail-wheel Contact Mechanism (윤축-레일 접촉메카니즘을 고려한 열차-교량 동적상호작용 해석)

  • Min, Dong-Ju;Kwark, Jong-Won;Kim, Moon-Young
    • Journal of the Korean Society for Railway
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    • v.18 no.4
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    • pp.363-373
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    • 2015
  • The purpose of this study is to develop a nonlinear algorithm for the dynamic interaction analysis of KTX trains and bridge girders with consideration of separation and flange contact phenomena between wheel and rail. For this, three interaction models between wheel-rail are implemented and compared through numerical examples. That is, the spring model and the non-jump model are briefly explained, and a nonlinear contact model is then proposed to accurately simulate interaction forces of the train-bridge system. Dynamic interaction analysis of a simply supported girder and trains is performed and the analyzed results are presented and compared for the proposed contact model and the other model types. Particularly, flange contact phenomena in the nonlinear contact model are demonstrated under a specific condition.

A Stability Analysis of the Magnetic Bearing System Subject to Sensor dislocation Error -Discussion on Nonlinear Magnetic Force Model- (센서의 설치 오차에 따른 자기베어링 지지 로터계의 안정도에 관한 연구 -비선형 자기력 모델에 대한 고찰-)

  • 정재일;김종원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.799-805
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    • 1996
  • In many cases, the magnetic farce model is linearized at the origin in designing the controller of a magnetic bearing system. However. this linear assumption is violated by the unmodeled nonlinear effect such as sensor dislocation and backup bearing dislocation. Therefore, a direct probe into the nonlinear magnetic force model in an active magnetic bearing system is necessary. To analyze the nonlinear magnetic force model of a magnetic bearing system, phase plot analysis which is to plot the numerical solution of the nonlinear equation in several initial points in the interested region is applied. Phase plot analysis is used to observe a nonlinear dynamic system qualitatively (not quantitatively). With this method, we can get much useful information of the nonlinear system. Among this information, a bifurcation graph that represents stability and locations of fixed points is essential. From the bifurcation graph, a stability criterion of magnetic bearing system is derived.

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Human Motion Control Using Dynamic Model (동력학 모델을 이용한 인체 동작 제어)

  • Kim, Chang-Hoe;O, Byeong-Ju;Kim, Seung-Ho
    • Journal of the Ergonomics Society of Korea
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    • v.18 no.3
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    • pp.141-152
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    • 1999
  • In this paper, We performed the human body dynamic modelling for the realistic animation based on the dynamical behavior of human body, and designed controller for the effective control of complicate human dynamic model. The human body was simplified as a rigid body which consists of 18 actuated degrees of freedom for the real time computation. Complex human kinematic mechanism was regarded as a composition of 6 serial kinematic chains : left arm, right arm, support leg, free leg, body, and head. Based on the this kinematic analysis, dynamic model of human body was determined using Newton-Euler formulation recursively. The balance controller was designed in order to control the nonlinear dynamics model of human body. The effectiveness of designed controller was examined by the graphical simulation of human walking motion. The simulation results were compared with the model base control results. And it was demonstrated that, the balance controller showed better performance in mimicking the dynamic motion of human walking.

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Robust Controller Design of Robot Manipulator (로봇 메니퓰레이터의 강인성 제어기 설계)

  • 이용중
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.4
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    • pp.7-13
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    • 1998
  • The gloval model is developed by combining this actuator formular with robot manipulator which is reported previously . The model initially represented in the form of coupled time-varying nonlinear dynamic system. It then decomposed into the decoupled linear model using nonlinear feedback and state transformation techniques. The new model employes the pole replacement method to improve the stability of the system. Using this new model, an robust control algorithm is developed. The proposed algorithm takes two state variables, position vector and velocity vector, and one input variable from actuator, input voltage.

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BAYESIAN ESTIMATION PROCEDURES IN MULTIPROCESS DISCOUNT NORMAL MODEL

  • Sohn, Joong-Kweon;Kang, Sang-Gil;Kim, Heon-Joo
    • Journal of the Korean Data and Information Science Society
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    • v.6 no.2
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    • pp.29-39
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    • 1995
  • A model used in the past may be altered at will in modeling for the future. For this situation, the multiprocess dynamic model provides a general framework. In this paper we consider the multiprocess discount normal model with parameters having a time dependent non-linear structure. This model has nice properties such as insensitivity to outliers and quick reaction to abrupt changes of pattern.

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GA-based Fuzzy Modelling of Nonlinear Systems (비선형시스템의 유전알고리즘에 기초한 퍼지 모델링)

  • 이현식;진강규
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.368-373
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    • 1998
  • This paper presents a GA-based fuzzy modelling scheme of nonlinear systems. The fuzzy model is a type of the Sugeno-Tagaki's fuzzy model whose consequence parts are described by a linear continuous dynamic equation as subsystem of a nonlinear system. The centers and width of the membership functions of the fuzzy sets defined over the input space and the orders and parameters of subsystems in the consequence parts are adjusted by a genetic algorithm. The effectiveness of the proposed method is verified

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Transient performance analysis of Cheju-Haenam HVDC system using PSCAD/EMTDC

  • Kim Chan-Ki;Kho Bong-Un;Yang Byeong-Mo;Choi Jong-Kee;Lee Jong-Min
    • Proceedings of the KIPE Conference
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    • 2001.10a
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    • pp.600-605
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    • 2001
  • This paper deals with dynamic performance of the Cheju - Haenam HVDC system. The purpose of the study is to verify the control characteristics of the HVDC system and to analyze the dynamic performances by simulation study. Because the HVDC system consists of analogue and digital controller, the simulation is achieved with specification model incorporating nonlinear function. The dynamic performance simulations are performed by PSCAD/EMTDC

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