• 제목/요약/키워드: Automotive intelligent Network

검색결과 47건 처리시간 0.022초

노드 기반 스케줄링 방법을 이용한 FlexRay 네트워크 시스템의 구현 (Implementation of FlexRay Network System using Node-based Scheduling Method)

  • 김만호;하경남;이석;이경창
    • 한국자동차공학회논문집
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    • 제18권2호
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    • pp.39-47
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    • 2010
  • As vehicles become intelligent for convenience and safety of drivers, in-vehicle networking (IVN) systems are essential components of intelligent vehicles. Recently, the chassis networking system which require increased network capacity and real-time capability is being developed to expand the application area of IVN systems. Also, FlexRay has been developed for the chassis networking system. However, FlexRay needs a complex scheduling method of static segment, which is a barrier for implementing the chassis networking system. Especially, if we want to migrate from CAN network to FlexRay network using CAN message database that was well constructed for the chassis networking system by automotive vendors, a novel scheduling method is necessary to be able to reduce design complexity. This paper presents a node-based scheduling method for FlexRay network system. And, in order to demonstrate the method's feasibility, its performance is evaluated through an experimental testbed.

차량용 지능형 네트워크에서의 동기식 이더넷중심 오류 주입 알고리즘 구현☆ (Synchronize Ethernet-based Fault Injection Algorithm Implementation for Intelligent Automotive Network)

  • 장은지;김인영;이웅재
    • 인터넷정보학회논문지
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    • 제17권4호
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    • pp.43-50
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    • 2016
  • 본 논문은 차량용 지능형 네트워크에서 각광 받게 될 이더넷중심의 프로토콜과 데이터 전송 시 임의의 오류에 내성이 있는 알고리즘을 제안하였다. 동시에 시뮬레이션과 실험을 통해 구현과 검증을 시도하여 시스템의 유용성을 증명하였다. 기존의 차량 통신 서비스 시스템에 적용시키기 위한 알고리즘에 대하여 문헌 조사하고 최종적으로 새로운 알고리즘을 구현하였다. 실제 차량용 실시간 데이터의 경우 임의의 값이 불규칙적으로 발생하기 때문에 임의의 데이터를 생성하여 실험을 진행하고 payload의 설정을 표준 형식에 맞추었다. 구현된 알고리즘의 성능을 확인하고자 기존의 알고리즘에서 단일 데이터에서부터 혼합형 (Hybrid-type) 데이터까지 확인하였을 때의 문제점을 확인하고 제안하는 알고리즘의 실효성을 확인하였다.

OVERVIEW OF TELEMATICS: A SYSTEM ARCHITECTURE APPROACH

  • Cho, K.Y.;Bae, C.H.;Chu, Y.;Suh, M.W.
    • International Journal of Automotive Technology
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    • 제7권4호
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    • pp.509-517
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    • 2006
  • In the mid 1990s, the combination of vehicles and communication was expected to bolster the stagnant car industry by offering a flood of new revenues. In-vehicle computing systems provide safety and control systems needed to operate the vehicle as well as infotainment, edutainment, entertainment, and mobile commerce services in a safe and responsible manner. Since 1980 the word "telematics" has meant the blending of telecommunications and informatics. Lately, telematics has been used more and more to mean "automotive telematics" which use informatics and telecommunications to enhance the functionality of motor vehicles such as wireless data applications, intelligent cruise control, and GPS in vehicles. This definition identifies telecommunications transferring information as the key enabling technology to provide these advanced services. In this paper, a possible framework for future telematics, which called an Intelligent Vehicle Network(IVN), is proposed. The paper also introduces and compares a number of existing technologies and the terms of their capabilities to support a suite of services. The paper additionally the paper suggests and analyzes possible directions for future telematics from current telematics techniques.

CAN을 기본으로한 전기자동차용 차량 네트워크 교육용 시스템 개발 (Developing an In-vehicle Network Education System Based on CAN)

  • 이병수;박민규;성금길
    • 한국자동차공학회논문집
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    • 제19권4호
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    • pp.54-63
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    • 2011
  • An educational network system based on CAN protocol internal to a passenger ground vehicle has been developed. The developed network system has been applied to a commercial plug-in electrical vehicle and verified the educational applicability. To apply this in-vehicle network technology based on CAN, a suitable electric vehicle has been chosen and a CAN network structure has been designed, developed and manufactured. Since the commercial electric vehicle chosen as a test bed has its own proprietary electric network, we explain how the original electric network has been utilized and how the new network system has been designed. The developed network system on a real vehicle has been tested to show the applicability and the performance. Finally, the system has been applied at few classrooms to demonstrate how the in-vehicle network system works and to teach how to analyse the CAN signals. The developed system proven to be effective for educational purpose.

초경량 Convolutional Neural Network를 이용한 차량용 Intrusion Detection System의 설계 및 구현 (Design and Implementation of Automotive Intrusion Detection System Using Ultra-Lightweight Convolutional Neural Network)

  • 이명진;임형철;최민석;차민재;이성수
    • 전기전자학회논문지
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    • 제27권4호
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    • pp.524-530
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    • 2023
  • 본 논문에서는 경량화된 CNN(Convolutional Neural Network)을 사용하여 CAN(Controller Area Network) 버스 상의 공격을 탐지하는 효율적인 알고리즘을 제안하고, 이를 기반으로 하는 IDS(Intrusion Detection System)를 FPGA로 설계, 구현 및 검증하였다. 제안한 IDS는 기존의 CNN 기반 IDS에 비해 CAN 버스 상의 공격을 프레임 단위로 탐지할 수 있어서 정확하고 신속한 대응이 가능하다. 또한 제안한 IDS는 기존의 CNN 기반 IDS에 비해 컨볼루션 레이어를 하나만 사용하기 때문에 하드웨어를 크게 줄일 수 있다. 시뮬레이션 및 구현 결과는 제안된 IDS가 CAN 버스 상의 다양한 공격을 효과적으로 탐지한다는 것을 보여준다.

차량용 임베디드시스템 기술동향 (A Research of Automotive Embedded System)

  • 박상현;이철동
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.243-245
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    • 2009
  • In recent years, a development of automotive embedded systems called Intelligent Vehicle are used for control and communication with CAN protocol. But as various devices and protocols are developed for Vehicle communication and control, it becomes difficult to manage the systems that contain limitation of bandwidth and various control requirement. To solve these problems, we introduce a research of automotive embedded systems which is considered the automotive real time operating system, automotive communications, and control systems.

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Intelligent Switching Control of Pneumatic Cylinders by Learning Vector Quantization Neural Network

  • Ahn KyoungKwan;Lee ByungRyong
    • Journal of Mechanical Science and Technology
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    • 제19권2호
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    • pp.529-539
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    • 2005
  • The development of a fast, accurate, and inexpensive position-controlled pneumatic actuator that may be applied to various practical positioning applications with various external loads is described in this paper. A novel modified pulse-width modulation (MPWM) valve pulsing algorithm allows on/off solenoid valves to be used in place of costly servo valves. A comparison between the system response of the standard PWM technique and that of the modified PWM technique shows that the performance of the proposed technique was significantly increased. A state-feedback controller with position, velocity and acceleration feedback was successfully implemented as a continuous controller. A switching algorithm for control parameters using a learning vector quantization neural network (LVQNN) has newly proposed, which classifies the external load of the pneumatic actuator. The effectiveness of this proposed control algorithm with smooth switching control has been demonstrated through experiments with various external loads.

Intelligent Switching Control of the Pneumatic Artificial Muscle Manipulators

  • Ahn, Kyoung-Kwan;Thanh, TU Diep Cong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.76-81
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    • 2004
  • Problems with the control, oscillatory motion and compliance of pneumatic systems have prevented their widespread use in advanced robotics. However, their compactness, power/weight ratio, ease of maintenance and inherent safety are factors that could be potentially exploited in sophisticated dexterous manipulator designs. These advantages have led to the development of novel actuators such as the McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle Manipulators. However, some limitations still exist, such as a deterioration of the performance of transient response due to the changes in the external inertia load in the pneumatic artificial muscle manipulator. To overcome this problem, a switching algorithm of the control parameter using a learning vector quantization neural network (LVQNN) is newly proposed. This estimates the external inertia load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external inertia loads.

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Improvement of the Control Performance of Pneumatic Artificial Muscle Manipulators Using an Intelligent Switching Control Method

  • Ahn, Kyoung-Kwan;Thanh, TU Diep Cong
    • Journal of Mechanical Science and Technology
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    • 제18권8호
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    • pp.1388-1400
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    • 2004
  • Problems with the control, oscillatory motion and compliance of pneumatic systems have prevented their widespread use in advanced robotics. However, their compactness, power/weight ratio, ease of maintenance and inherent safety are factors that could be potentially exploited in sophisticated dexterous manipulator designs. These advantages have led to the development of novel actuators such as the McKibben Muscle, Rubber Actuator and Pneumatic Artificial Muscle Manipulators. However, some limitations still exist, such as a deterioration of the performance of transient response due to the changes in the external inertia load in the pneumatic artificial muscle manipulator. To overcome this problem, a switching algorithm of the control parameter using a learning vector quantization neural network (LVQNN) is newly proposed. This estimates the external inertia load of the pneumatic artificial muscle manipulator. The effectiveness of the proposed control algorithm is demonstrated through experiments with different external inertia loads.

IVN 시스템을 위한 IEEE 1451 기반 스마트 모듈의 개발 (Development of IEEE 1451 based Smart Module for In-vehicle Networking Systems)

  • 이경창;김만호;이석
    • 한국자동차공학회논문집
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    • 제11권6호
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    • pp.155-163
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    • 2003
  • As vehicles become more intelligent for convenience and safety of drivers, the in-vehicle networking(IVN) systems and smart modules are essential components for intelligent vehicles. However, for wider application of smart modules and IVN's, the following two problems should be overcome. Firstly, because it is very difficult that transducer manufacturers developed the smart module that supports all the existing IVN protocols, the smart module must be independent of the type of networking protocols. Secondly, when the smart module needs to be replaced due to its failure, only the transducer should be replaced these without the replacement of the microprocessor and network transceiver. To solve these problems, this paper investigates the feasibility of an IEEE 1451 based smart module. More specifically, a smart module for DC motor control has been developed. The module has been evaluated for its delay caused by the IEEE 1451 architecture. In addition, the time required for transducer replacement has been measured.