• Title/Summary/Keyword: 차량 동역학 제어

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Application of Look-ahead Preview Control to the Tracked Vehicles (궤도 차량에 대한 예견 제어 응용)

  • Kang, Ok-Hyun;Park, Young-Jin;Park, Youn-Sik;Seo, Moon-Suk
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.115-119
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    • 2007
  • In this paper, practical problems will be covered in applying preview control to real tracked vehicle systems. Previous researches about the preview control assume that the vehicle speed is constant and the actuators have full frequency bandwidth. However, in order to apply it to real systems, those should be taken into account. Therefore this paper show the algorithm to apply the preview control to speed changing vehicles and performance variation according to a restricted frequency bandwidth.

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Lateral Stability Control for Rear Wheel Drive Vehicles Using Electronic Limited Slip Differential (전자식 차동 제한장치를 이용한 후륜구동 차량의 횡방향 안정성 제어)

  • Cha, Hyunsoo;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.3
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    • pp.6-12
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    • 2021
  • This paper presents a lateral stability control for rear wheel drive (RWD) vehicles using electronic limited slip differentials (eLSD). The proposed eLSD controller is designed to increase the understeer characteristic by transferring torque from the outside to inside wheel. The proposed algorithm is devised to improve the lateral responses at the steady state and transient cornering. In the steady state response, the proposed algorithm can extend the region of linear cornering response and can increase the maximum limit of available lateral acceleration. In the transient response, the proposed controller can reduce the yaw rate overshoot by increasing the understeer characteristic. The proposed algorithm has been investigated via computer simulations. In the simulation results, the performance of the proposed controller is compared with uncontrolled cases. The simulation results show that the proposed algorithm can improve the vehicle lateral stability and handling performance.

Virtual Brake Pressure Sensor Using Vehicle Yaw Rate Feedback (차량 요레이트 피드백을 통한 가상 제동 압력 센서 개발)

  • You, Seung-Han
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.1
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    • pp.113-120
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    • 2016
  • This paper presents observer-based virtual sensors for YMC(Yaw Moment Control) systems by differential braking. A high-fidelity empirical model of the hydraulic unit in YMC system was developed for a model-based observer design. Optimal, adaptive, and robust observers were then developed and their estimation accuracy and robustness against model uncertainty were investigated via HILS tests. The HILS results indicate that the proposed disturbance attenuation approach indeed exhibits more satisfactory pressure estimation performance than the other approach with admissible degradation against the predefined model disturbance.

Anti-skid Control System Analysis of a Tilting Train (틸팅차량의 활주방지 제어시스템 해석)

  • Kang, Chul-Goo;Kim, Ho-Yeon;Kim, Min-Soo;Goo, Byeong-Choon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.2
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    • pp.169-178
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    • 2009
  • The presence of low adhesion at the wheel-rail contact point can result in skid of train wheels, and the skid, in turn, results in flats appearing on the wheels. Thus, anti-skid control has a crucial role for safe braking and prevention from flats that could cause a disastrous train accident. This paper presents dynamic modeling of a tilting train and the brake system of the tilting train, and analyzes the anti-skid logic used in the tilting train. The validity of the analysis is demonstrated via simulation study using Simulink for skid and re-adhesion circumstances of the tilting train.

Absolute Vehicle Speed Estimation using Neural Network Model (신경망 모델을 이용한 차량 절대속도 추정)

  • Oh, Kyeung-Heub;Song, Chul-Ki
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.9
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    • pp.51-58
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    • 2002
  • Vehicle dynamics control systems are. complex and non-linear, so they have difficulties in developing a controller for the anti-lock braking systems and the auto-traction systems. Currently the fuzzy-logic technique to estimate the absolute vehicle speed is good results in normal conditions. But the estimation error in severe braking is discontented. In this paper, we estimate the absolute vehicle speed by using the wheel speed data from standard 50-tooth anti-lock braking system wheel speed sensors. Radial symmetric basis function of the neural network model is proposed to implement and estimate the absolute vehicle speed, and principal component analysis on input data is used. Ten algorithms are verified experimentally to estimate the absolute vehicle speed and one of those is perfectly shown to estimate the vehicle speed with a 4% error during a braking maneuver.

Vehicle Dynamics and Road Slope Estimation based on Cascade Extended Kalman Filter (Cascade Extended Kalman Filter 기반의 차량동특성 및 도로종단경사 추정)

  • Kim, Moon-Sik;Kim, Chang-Il;Lee, Kwang-Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.9
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    • pp.208-214
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    • 2014
  • Vehicle dynamic states used in various advanced driving safety systems are influenced by road geometry. Among the road geometry information, the vehicle pitch angle influenced by road slope and acceleration-deceleration is essential parameter used in pose estimation including the navigation system, advanced adaptive cruise control and others on sag road. Although the road slope data is essential parameter, the method measuring the parameter is not commercialized. The digital map including the road geometry data and high-precision DGPS system such as DGPS(Differential Global Positioning System) based RTK(Real-Time Kinematics) are used unusually. In this paper, low-cost cascade extended Kalman filter(CEKF) based road slope estimation method is proposed. It use cascade two EKFs. The EKFs use several measured vehicle states such as yaw rate, longitudinal acceleration, lateral acceleration and wheel speed of the rear tires and 3 D.O.F(Degree Of Freedom) vehicle dynamics model. The performance of proposed estimation algorithm is evaluated by simulation based on Carsim dynamics tool and T-car based experiment.

Integrated Risk Management System for Intelligent Vehicle (지능형 자동차의 통합 위험 관리 시스템)

  • Yi, Kyongsu;Choi, Jaewoong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.12
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    • pp.1503-1510
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    • 2012
  • This paper presents an Integrated Risk Management System (IRMS), which is designed to integrate longitudinal and lateral collision avoidance systems. Indices representing longitudinal and lateral collision risks are designed. From the designed indices, an integrated control strategy is designed. A collision avoidance algorithm is designed to assist the driver in avoiding collisions by using a vehicle-driver-controller integrated linear model. The performance of the proposed algorithm is investigated via computer simulations conducted using the vehicle dynamics software CARSIM and Matlab/Simulink.

A Study on Global Chassis Control Logic of Vehicles (차량 통합샤시제어 로직에 관한 연구)

  • 박기홍;허승진;손성효;장영하;황태훈
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1001-1005
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    • 2003
  • Most electronic chassis control systems until today have been designed with optimization on its own performance. Recently, however. importance of the global chassis control (GCC) concept that aims to achieve optimal performance on a global basis is more emphasized than ever, as the x-by-wire technology is rapidly progressing. In this research, a study has been done for developing a GCC logic for combining longitudinal, lateral, and vertical chassis control subsystems. A simulation has been performed to investigate interactions among the subsystems, and based upon the results, a GCC logic has been developed. The logic has been tested under various driving conditions. and the results have been compared with those from implementing subsystems without any GCC logic.

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Development of Algorithm for Advanced Driver Assist based on In-Wheel Hybrid Driveline (인휠 전기 구동 기반의 능동안전지원 알고리즘 개발)

  • Hwang, Yun-Hyoung;Yang, In-Beom
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.1-8
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    • 2017
  • This paper presents the development of an adaptive cruise control (ACC) system, which is one of the typical advanced driver assist systems, for 4-wheel drive hybrid in-wheel electric vehicles. The front wheels of the vehicle are driven by a combustion engine, while its rear wheels are driven by in-wheel motors. This paper proposes an adaptive cruise control system which takes advantage of the unique driveline configuration presented herein, while the proposed power distribution algorithm guarantees its tracking performance and fuel efficiency at the same time. With the proposed algorithm, the vehicle is driven only by the engine in normal situations, while the in-wheel motors are used to distribute the power to the rear wheels if the tracking performance decreases. This paper also presents the modeling of the in-wheel motors, hybrid in-wheel driveline, and integrated ACC control system based on a commercial high-precision vehicle dynamics model. The simulation results obtained with the model are presented to confirm the performance of the proposed algorithm.

A Study on Brake Gain Adaptive Wheel Slip Control (브레이크 게인 적응 휠 슬립 제어에 관한 연구)

  • Jo, J.S.;Yoo, S.J.;Lee, K.I.
    • Transactions of The Korea Fluid Power Systems Society
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    • v.4 no.1
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    • pp.13-17
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    • 2007
  • The brake gain adaptive wheel slip controller for a vehicle is designed in this paper. The brake gain from braking pressure to braking torque defined by friction coefficient, friction area and effective friction radius is estimated by the adaptive law based on the wheel slip dynamics. And the wheel slip controller is designed based on the estimated brake gain. The robustness of the designed controller is analyzed using Lyapunov function and the convergence of brake gain is verified. Proposed wheel slip controller is verified via CarSim simulation with two kinds of desired wheel slip ratio.

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