• Title/Summary/Keyword: automotive control

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DEVELOPMENT OF AN ACTIVE FRONT STEERING SYSTEM

  • Kim, S.J.;Kwak, B.H.;Chung, S.J.;Kim, J.G.
    • International Journal of Automotive Technology
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    • v.7 no.3
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    • pp.315-320
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    • 2006
  • We have developed an active front steering system(AFS) with a planetary gear train, which can vary the steering gear ratio according to the vehicle speed and improve vehicle stability by superimposing steering angle. We conducted vehicle tests showing that co-operated control of AFS with ESP can improve vehicle stability by direct control of tire slip angle and that steering reaction torque during AFS intervention can be compensated by torque compensation using electric power steering.

A study of electronic gasoline engine control technique (전자식 가솔린 엔진의 조절 방법에 관한 연구)

  • 성낙원
    • Journal of the korean Society of Automotive Engineers
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    • v.9 no.5
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    • pp.66-76
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    • 1987
  • The control technique for an electronic engine is studied. For this study an IBM-PC and a throttle body fuel injection system are selected. The computer controls fuel injection, spark timing, exhaust gas recirculation and idle speed. Fuel injection is adjusted either by a feed back signal of a zirconia $O_{2}$ sensor or programmed logic for starting, deceleration, warm ing up and idle modes. When a 3-way catalytic converter is used with the electronic engine control system, CO, THC, and NOx were reduced more than 90% simultaneously.

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Development of an Autonomous Vehicle: A1 (자율주행자동차 개발: A1)

  • Chu, Keon-Yup;Han, Jae-Hyun;Lee, Min-Chae;Kim, Dong-Chul;Jo, Ki-Chun;Oh, Dong-Eon;Yoon, E-Nae;Gwak, Myeong-Gi;Han, Kwang-Jin;Lee, Dong-Hwi;Choe, Byung-Do;Kim, Yang-Soo;Lee, Kang-Yoon;Huh, Kun-Soo;SunWoo, Myoung-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.19 no.4
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    • pp.146-154
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    • 2011
  • This article describes the Autonomous Vehicle #1 (A1), which won the 2010 Autonomous Vehicle Competition (AVC) organized by Hyundai Kia automotive group. The A1 was developed for high speed and stable driving without human intervention. The autonomous system of A1 was developed based on in-vehicle networks, electronic control units, and embedded software. Novel environment perception and navigation algorithm were evaluated and validated through the AVC. In this paper, we presented the system and software architecture of A1.

Vehicle Dynamics Control Applications to Automobiles: Survey and Some New Trends (차량 제어 기술 및 선진 연구 동향)

  • Yi, Kyong-Su;Lee, Jun-Yung
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.3
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    • pp.298-312
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    • 2014
  • This paper describes control applications in automobiles. Many aspects of automotive applications of advanced control methods, which include suspension systems, stability control systems, engines, hybrid vehicle control systems, electric vehicle controls systems, advanced driver assistance systems and automated driving control systems, are reviewed. The control methods used in each area are briefly reviewed to help readers understand the applicability and effectiveness of these methods. In addition, some new trends in the research of automotive applications are described.

Active Vibration Control of Flexible Cantilever Beam by Intelligent Control Technique (지능제어 기법에 의한 유연 외팔보의 능동 진동제어)

  • Shin, J.;Park, S. H.;Oh, J. E.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.5 no.2
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    • pp.205-212
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    • 1997
  • In this study, active vibration control for a flexible cantilever beam was performed by using the intelligent control technique. The intelligent control method which integrating the back propagation algorithm and the fuzzy inference technique was proposed and its performance was examined. The proposed control algorithm for the flexible cantilever beam was verified via computer simulation of active vibration control. Furthermore, the control system and its efficiency were investigated via experiments on active vibration control by the intelligent control technique without a digital signal processing device.

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Performance Tradeoff Between Control Period and Delay: Lane Keeping Assist System Case Study

  • Cha, Hyun-Jun;Park, Seong-Woo;Jeong, Woo-Hyuk;Kim, Jong-Chan
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.39-46
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    • 2015
  • In this paper, we propose a performance-aware workload model for efficient implementation of control systems. When implementing a control algorithm as an embedded computer system, the control code executes periodically. For such systems, its control performance depends on not only the accuracy of the control algorithm itself but also temporal parameters such as control period and sensing to actuation delay. In this regard, this paper studies the relation between control period and delay by measuring and analyzing the control performance of LKAS (Lane Keeping Assist System) with varying period and delay combinations. Through this experimental study, this paper shows that the two timing parameters, i.e.,control period and delay, has a tradeoff relation in terms of control performance.

Common Rail Pressure Control Algorithm for Passenger Car Diesel Engines Using Quantitative Feedback Theory (QFT를 이용한 디젤엔진의 커먼레일 압력 제어알고리즘 설계 연구)

  • Shin, Jaewook;Hong, Seungwoo;Park, Inseok;Sunwoo, Myoungho
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.38 no.2
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    • pp.107-114
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    • 2014
  • This paper proposes a common rail pressure control algorithm for passenger car diesel engines. For handling the parameter-varying characteristics of common rail systems, the quantitative feedback theory (QFT) is applied to the design of a robust rail pressure control algorithm. The driving current of the pressure control valve and the common rail pressure are used as the input/output variables for the common rail system model. The model parameter uncertainty ranges are identified through experiments. Rail pressure controller requirements in terms of tracking performance, robust stability, and disturbance rejection are defined on a Nichols chart, and these requirements are fulfilled by designing a compensator and a prefilter in the QFT framework. The proposed common rail pressure control algorithm is validated through engine experiments. The experimental results show that the proposed rail pressure controller has a good degree of consistency under various operating conditions, and it successfully satisfies the requirements for reference tracking and disturbance rejection.