• Title/Summary/Keyword: a full car model

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Overlapping Decentralized Robust EA Control Design for an Active Suspension System of a Full Car Model (전차량의 능동 현가 장치 제어를 위한 중복 분산형 견실 고유구조지정 제어기 설계)

  • 정용하;최재원;김영호
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.217-217
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    • 2000
  • A decentralized robust EA(eigensoucture assignment) controller is designed for an active suspension system of a vehicle based on a full car model with 7-degree of freedom. Using overlapping decomposition, the full car model is decentralized by two half car models. For each half car model, a robust eigenstructure assignment controller can be obtained by using optimization approach. The performance of the decentralized robust EA controller is compared with that of a conventional centralized EA controller through computer simulations.

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Integrated Suspension Control Using a Reduced Full-Car Model : HILS and Experiments (축소된 전차량 모델을 이용한 현가장치의 통합제어: HILS 및 실차실험)

  • 홍경태;손현철;이동락;홍금식
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.105-105
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    • 2000
  • In this paper, an integrated control of the semi-active suspension system using a reduced full-car model is investigated. By including the reduced full-car dynamics in the control law, the semi-act ive suspension system is able to control not only the vertical acceleration but also the roll and pitch mot ions of the car body, which is not Possible with a quarter-car model or a half-car model. The damping forces for the semi-active dampers are designed to track the damping forces of the skyhook controller designed from the reduced full car dynamics. Computer simulations and experimental results using a real car are also included.

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The Influence of the constraint condition on the Roller-rig (주행시험대 구속조건에 따른 영향 분석)

  • Kim, Nam-Po;Park, Joon-Hyuk
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1074-1079
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    • 2011
  • This paper describes the influence on the nonlinear critical speed results of a specific railway vehicle depending on various constraint conditions. In the roller-rig tests, proper constraints are inevitable to safely hold the test vehicles. Particularly, the test results using KRRI roller-rig are more sensitive to constraint conditions because it is a kind of semi-full car type. In this study, nonlinear critical speed of specific vehicle with regards to several constraint cases were predicted by computational analysis and these results were compared to find the suitable constraint conditions. And also the deviation of semi-full car model from actual full car model was investigated. According to the bifurcation analysis, the nonlinear critical speed are dependent with the constraint condition and car-body yaw motion should be free to achieve more accurate results. And the difference between semi-full and full car model was so small that KRRI's semi-full car model are valid as long as the stability is concerned.

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Overlapping Decentralized Robust EA Control Design for an Active Suspension System of a Full Car Model (전차량의 능동 현가장치 제어를 위한 중복 분산형 견실 고유구조 지정 제어기 설계)

  • Jung, Yong-Ha;Choi, Jae-Weon
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.2
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    • pp.206-213
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    • 2001
  • An overlapping decentralized robust EA(eigenstructure assignment) controller is designed for an active suspension system of a vehicle based on a full car model with 7-degree of freedom. Using overlapping decomposition, the full car model is decentralized by two half car models. For each half car model, an effective and disturbance suppressible controller can be obtained by assigning appropriately a left eigenstructure of the system. The performance of the proposed overlapping decentralized robust EA controller is compared with that of a conventional centralized EA controller through computer simulations.

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Occupant Behavior Analysis of Simplified Full Car Model in Consideration of Joint (결합부 강성을 고려한 단순차체모델의 승객거동 해석)

  • 김홍욱;박신희;강신유;한동철;김정원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.2
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    • pp.220-227
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    • 1998
  • In substitution of beam-nonlinear spring model for real-car, it may have errors due to complicated characteristics of joint and overestimation of joints stiffness. In this research, a method for the joint modeling was suggested by nonlinear static and dynamic analyses of beam and shell joint models and verified by the application of accomplished joint modeling method to simplified full car model. In consequence, modified simplified full car model was improved in local acceleration and rigid wall force. Finally, the frontal crash analyses with the dummy were established and the accelerations of accelerations of head, chest and pelvis had good agreements with those of shell model.

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Hybrid Control of an Active Suspension System with Full-Car Model Using H$_{}$$\infty$/ and Nonlinear Adaptive Control Methods

  • Bui, Trong-Hieu;Suh, Jin-Ho;Kim, Sang-Bong;Nguyen, Tan-Tien
    • Journal of Mechanical Science and Technology
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    • v.16 no.12
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    • pp.1613-1626
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    • 2002
  • This paper presents hybrid control of an active suspension system with a full-car model by using H$\sub$$\infty$/ and nonlinear adaptive control methods. The full-car model has seven degrees of freedom including heaving, pitching and rolling motions. In the active suspension system, the controller shows good performance: small gains from the road disturbances to the heaving, pitching and rolling accelerations of the car body. Also the controlled system must be robust to system parameter variations. As the control method, H$\sub$$\infty$/ controller is designed so as to guarantee the robustness of a closed-loop system in the presence of uncertainties and disturbances. The system parameter variations are taken into account by multiplicative uncertainty model and the system robustness is guaranteed by small gain theorem. The active system with H$\sub$$\infty$/ controller can reduce the accelerations of the car body in the heaving, pitching and rolling directions. The nonlinearity of a hydraulic actuator is handled by nonlinear adaptive control based on the back-stepping method. The effectiveness of the controllers is verified through simulation results in both frequency and time domains.

A Robust $H^{\infty}$ Controller for Active Suspensions Based on a Full-Car Model (차량의 능동형 현가장치를 위한 강인한 $H^{\infty}$ 제어기 설계)

  • Park, Jong-Hyeon;Kim, Young-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.146-154
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    • 2000
  • An $H\infty$ controller is designed for active suspensions of vehicles using 7-degree-of-freedom full-car model. Its performance robustness as well as stability robustness to system parameter variations and unmodelled dynamics are assured through the $\mu$-framework. The performance of the $H\infty$ controller is compared with that of a LQC controller in compute simulations. From the simulations it is found that the active suspension with the $H\infty$ controller reduces the acceleration and motion of the sprung mass in the heaving rolling and pitching directions when the car is driven on a normal road or through an asymmetric bump. The suspension stroke and the road holding capability are also improved with a relatively small level of power consumption. Overall the $H\infty$ controller shows a more robust performance than that of the LQG design.

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Active Suspension System Control Using Optimal Control & Neural Network (최적제어와 신경회로망을 이용한 능동형 현가장치 제어)

  • 김일영;정길도;이창구
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.4
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    • pp.15-26
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    • 1998
  • Full car model is needed for investigating as a entire dynamics of vehicle. In this study, 7DOF of full car model's dynamics is selected. This paper proposes the output feedback controller based on optimal control theory. Input data and output data from the optimal controller are used for neural network system identification of the suspension system. To do system identification, neural network which has robustness against nonlinearities and disturbances is adapted. This study uses back-propagation algorithm to train a multil-layer neural network. After obtaining a neural network model of a suspension system, a neuro-controller is designed. Neuro-controller controls suspension system with off-line learning method and multistep ahead prediction model based on the neural network model and a neuro-controller. The optimal controller and the neuro-controller are designed and then, both performances are compared through. For simulation, sinusoidal and rectangular virtual bumps are selected.

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Output feedback, decentralized controller design for an active suspension system using 7 DOF full car model (7 자유도 차량 모델과 출력 되먹임을 이용한 자동차 능동 현가장치 설계에 관한 연구)

  • 노태수;정길도;홍동표
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.871-875
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    • 1996
  • The Output feedback linear quadratic regulator control is applied to the design of active suspension system using 7 DOF full car model. The performance index reflects the vehicle vertical movement, pitch and roll motion, and minimization of suspension stroke displacements in the rattle space. The elements of gain matrix are approximately decoupled so that each suspension requires only local information to generate the control force. The simulation results indicates that the output feedback LQ controller is more effective than purely passive or full state feedback active LQ controllers in following the road profile at the low frequency range and suppressing the road disturbance at the high frequency ranges.

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Dynamics Analysis and Simulation of a Passive Suspension System Using 7 DOF Full Car Model (7 DOF 차량 모델을 이용한 자동차 현가장치 동력학 해석 및 시뮬레이션에 관한 연구)

  • 노태수;정길도;홍동표
    • Transactions of the Korean Society of Automotive Engineers
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    • v.5 no.2
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    • pp.31-41
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    • 1997
  • Equations of motion for a 7 DOF full car model is developed in detail and used for the design of LQR based active suspension system. The frequency response to road disturbance input and the motion of a car passing unequal bumps were used to analyzed the dynamic characteristics of the 7 DOF full car with passive or active suspensions. The resulting linear equations of motion may be usefull in designing other types of active suspension.

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