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A Study on Lateral Stability Enhancement of 4WS Vehicle with Active Front Wheel Steer System (능동전륜조향장치를 채택한 사륜조향차량의 횡방향 안정성 강화에 대한 연구)

  • Song, Jeong-Hoon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.20 no.2
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    • pp.15-20
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    • 2012
  • This study is to propose and develop an integrated dynamics control system to improve and enhance the lateral stability and handling performance. To achieve this target, we integrate an AFS and a 4WS systems with a fuzzy logic controller. The IDCS determines active additional steering angle of front wheel and controls the steering angle of rear wheel. The results show that the IDCS improves the lateral stability and controllability on dry asphalt and snow paved road when double lane change and step steering inputs are applied. Yaw rate of the IDCS vehicle tracks reference yaw rate very well and body slip angle is reduced about by 50%. Response time of the IDCS vehicle is also decreased.

An Investigation of the Lateral Stability Criteria for Integrated Chassis Control (통합 샤시 제어를 위한 횡방향 안전성 판단 조건에 관한 연구)

  • Ann, Kookjin;Joa, Eunhyek;Koh, Youngil;Yi, Kyongsu;Sohn, Kimo
    • Journal of Auto-vehicle Safety Association
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    • v.9 no.2
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    • pp.26-32
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    • 2017
  • This paper presents the lateral stability criteria for integrated chassis control. To determine the intervention timing of chassis control system, the lateral stability criteria is needed. The proposed lateral stability criteria is based on velocity-yawrate gain domain to determine whether vehicle is stable. If the yawrate gain violates the proposed criteria, the stability of the vehicle is considered as unstable. Characteristic velocity and critical velocity are employed to distinguish lateral stability criteria. The inside of the two boundaries is stable and the outside is unstable. If yawrate gain of vehicle violates the lateral stability criteria, the chassis control begin to intervene. To validate the lateral stability criteria, both computer simulations and vehicle test are conducted with respect to circular turn scenario. The proposed lateral stability criteria makes it possible to reduce intervention of chassis control system.

IPMSM Drives Using NPC 3-Level Inverters for the Next Generation High Speed Railway System (NPC 3-레벨 인버터를 적용한 차세대 고속전철 IPMSM의 구동)

  • Kwon, Soon-Hwan;Jin, Kang-Hwan;Kim, Sung-Je;Lee, Tae-Houng;Kim, Yoon-Ho
    • Journal of the Korean Society for Railway
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    • v.15 no.2
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    • pp.129-134
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    • 2012
  • In this paper, speed control of IPMSM drives for the next generation domestic high speed railway system using NPC 3-level inverters is presented. The NPC multilevel inverter is suitable for the high-voltage and high-power motor drive system because it has advantages in that the voltage rating of the power semiconductor devices and output current harmonics are reduced. For the speed control of IPMSM using NPC 3-level inverters, maximum torque control is applied in the constant torque region, and filed weakening control is applied in the constant power region. Simulation programs based on MATLAB/Simulink are developed. Finally the designed system is verified and their characteristics are analyzed by the simulation results.

A study on the Development of TUI(Tangible User Interface) System Model (TUI 시스템 모델 개발에 관한 연구)

  • 임창영;최민영
    • Archives of design research
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    • v.16 no.4
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    • pp.355-364
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    • 2003
  • The TUI system Modeling Language(TML) developed in this research can be used for designing TUI system with concerning about TUI's characters. For design to be concerned about physical property of tangibles and control device and digital media, TML can be a framework to give a definition of each property and be used for designing action and reaction process separately. And it would be the guideline to represent interaction's dynamic property through showing parallel information flows among objects. Finally, for verification TML's suitability, TUI system to which TML was applied was developed.

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Study and Evaluation of Sub Area Linkage Algorithm in COSMOS (COSMOS에서의 Sub Area 운영 알고리즘에 관한 연구 및 평가)

  • Lee, Young-Ihn;Kim, Sang-Yoon
    • Journal of Korean Society of Transportation
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    • v.22 no.2 s.73
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    • pp.109-119
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    • 2004
  • In COSMOS, an area for signal coordination is divided into subareas composed of several signalized intersections that share a common cycle time. Each subarea contains only one critical intersection having heavy traffic load. Subarea is a basic unit of control. The performance of COSMOS is highly dependent on the linkage rule between adjacent subareas. The purpose of this study is to provide an appropriate subarea linkage rule in COSMOS. This study developed a control strategy for Critical Intersection and Sub Area linkage. Critical Intersections calculate the Offset Pattern both East-West Axis and North-South Axis, and the coordination direction either East-West Axis or North-South Axis. Subarea can be combined with other one in all directions. The performance of the suggested linkage rule was evaluated on the real network in Gangnam-Gu. The result was that travel time was reduced by the suggested linkage rule.

Trajectory Optimization and the Control of a Re-entry Vehicle during TAEM Phase using Artificial Neural Network (재진입 비행체의 TAEM 구간 최적궤적 설계와 인공신경망을 이용한 제어)

  • Kim, Jong-Hun;Lee, Dae-Woo;Cho, Kyeum-Rae;Min, Chan-Oh;Cho, Sung-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.4
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    • pp.350-358
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    • 2009
  • This paper describes a result of the guidance and control for re-entry vehicle during TAEM phase. TAEM phase (Terminal Aerial Energy Management phase) has many conditions, such as density, velocity, and so on. Under these conditions, we have optimized trajectory and other states for guidance in TAEM phase. The optimized states consist of 7 variables, down-range, cross range, altitude, velocity, flight path angle, vehicle's azimuth and flight range. We obtained the optimized reference trajectory by DIDO tool, and used feedback linearization with neural network for control re-entry vehicle. By back propagation algorithm, vehicle dynamics is approximated to real one. New command can be decided using the approximated dynamics, delayed command input and plant output, NARMA-L2. The result by this control law shows a good performance of tracking onto the reference trajectory.

ORBITAL MANEUVER USING TWO-STEP SLIDING MODE CONTROL (2단 슬라이딩 제어기법을 이용한 인공위성의 궤도조정)

  • 박종옥;이상욱;최규홍
    • Journal of Astronomy and Space Sciences
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    • v.15 no.1
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    • pp.235-244
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    • 1998
  • The solutions of orbital maneuver problem using the sliding mode control in the presence of the erath gravitational perturbations is obtained. Especially, the optimization of consuming fuel for maneuver is performed. The impulsive solution to Lambert's problem using the combined equation method to minimize total ${\Delta}V is used for the desired orbit and the maneuver times. Two-step sliding mode control method is introduced for satisfying the boundary conditions of finite-thrust rendezvous problem at the end of maneuver time. Using the new approach to the orbit maneuver problem, two-step sliding mode control, orbit maneuvers are processed. The solutions to a rendezvous using the optimal control are obtained, and they are compared to the results by two-step sliding control.According to the new approach for orbit maneuver, the thrust-coast-thrust type controller is obtained to make satellite to track desired Lambert's orbit, and the total ${\Delta}V$ required for maneuver is resonable in comparison with the impulsive solution to Lambert's problem. The final state variables, also are close to the boundary conditions at the end of maneuver times.

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Driving Characteristics Improvement according to the Position Feedback Control of Slotless Linear Synchronous Motor for Living Application (주거 환경 적용을 위한 Slotless 선형 동기전동기의 위치 피드백 제어에 따른 구동 특성 개선)

  • Cho, Kyoung-Pil;Kim, Yong-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.2
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    • pp.285-290
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    • 2013
  • The slotless linear synchronous motor(LSM) has the advantages that the structure of the mover is simple and it can control the trust force ripple by make the magnetic energy in a gap uniform by removing a slot of the primary iron core. Also, the application of the transportation system is becoming expansion because it high efficiency drive is possible and compares with the other LSM as control is more excellent. However, the application of the living field was unsatisfactory. Therefore, in this study, we examined the drive characteristics by the position feedback control for the living field application of the slotless LSM and we prove useful of the controller through load loading and the acceleration changing to get minimization of the speed vibration and stable answer characteristics.

The Characteristic Study of Capacity Control of an Industrial Cooler Using an Invertor Compressor with Varing the Ambient Temperatures (인버터 압축기를 채용한 산업용 수냉각기의 외기온도 변화에 따른 용량제어 특성)

  • Baek, Seung-Moon;Moon, Choon-Geun;Kim, Eun-Pil;Jeong, Seok-Kwon;Yoon, Jung-In
    • Journal of Advanced Marine Engineering and Technology
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    • v.35 no.2
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    • pp.238-243
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    • 2011
  • The ambient temperature of the experimental conditions changes by varying the speed of the compressor and the electronic expansion valve opening. The effects of changing valve opening to the entire system has been investigated. The results show that the ambient temperatures of $35^{\circ}C$ and $30^{\circ}C$ controlled at 30Hz must be avoided. The capacity control range of the control compressor with changing speed is about 43~100% at $35^{\circ}C$, 43~100% at $25^{\circ}C$ and 48~100% at $10^{\circ}C$, respectively. The results show the capacity control range decreases with decreasing ambient temperature.

Servo Control of Hydraulic Motor using Artificial Intelligence (인공지능을 이용한 유압모터의 서보제어)

  • 신위재;허태욱
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.49-54
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    • 2003
  • In this paper, we propose a controller with the self-organizing neural network compensator for compensating PID controller's response. PID controller has simple design method but needs a lot of trials and errors to determine coefficients. A neural network control method does not have optimal structure as the parameters are pre-specified by designers. In this paper, to solve this problem, we use a self-organizing neural network which has Back Propagation Network algorithm using a Gaussian Potential Function as an activation function of hidden layer nodes for compensating PID controller's output. Self-Organizing Neural Network's learning is proceeded by Gaussian Function's Mean, Variance and number which are automatically adjusted. As the results of simulation through the second order plant, we confirmed that the proposed controller get a good response compare with a PID controller. And we implemented the of controller performance hydraulic servo motor system using the DSP processor. Then we observed an experimental results.

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