• Title/Summary/Keyword: EPS센서

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Implementation of EPS Motion Signal Detection and Classification system Based on LabVIEW (LabVIEW 기반 EPS 동작신호 검출 및 분석 시스템 구현)

  • Cheon, Woo Young;Lee, Suk Hyun;Kim, Young Chul
    • Smart Media Journal
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    • v.5 no.3
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    • pp.25-29
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    • 2016
  • This paper presents research for non-contact gesture recognition system using EPS(Electronic Potential Sensor) for measuring the human body of electromagnetic fields. It implemented a signal acquisition and signal processing system for designing a system suitable for motion recognition using the data coming from the sensors. we transform AC-type data into DC-type data by applying a 10Hz LPF considering H/W sampling rate. in addition, we extract 2-dimensional movement information by taking difference value between two cross-diagonal deployed sensor.

Adaptive offset decision of current sensor (적응형 전류센서 offset 보정량 검출)

  • Lee, Yoon-Hyung;Han, Sang-Whi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.438-440
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    • 2012
  • 본 논문은 EPS ECU 에 사용되고 있는 전류센서의 offset 결정에 대해 효율적인 방법을 제시한다. 센서의 offset 은 EPS 시스템에서 모터의 토크리플을 야기하기 하므로, 토크리플을 줄이기 위해 offset 을 보정하여 모터를 제어하게 된다. 일반적으로 EPS ECU 에 대해 offset 보정 방법은 ECU 생산시 센서의 offset 값을 측정하여 EEPROM 에 기록하고, 모터 제어시 활용한다. 이러한 방식은 ECU 생산의 cycle time 을 늘릴 뿐만 아니라, 센서 및 주변 회로의 노후로 인해 MCU 의 입력으로 들어오는 offset 값의 변화에 대해 대응할 수 없는 한계를 가진다. 언급된 문제를 보완하기 위해 본 논문은 ECU 생산시 offset 을 EEPROM 에 기록하는 것이 아니라 ECU 가 ON 때마다 센싱값을 정확하게 취득하여 offset 값을 선정하고 '강인한 오차 기준' 함수를 사용하여 노이즈의 영향을 줄이는 방법을 제시한다.

Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering (전동식 파워 스티어링을 위한 데이터 기반 결함 및 선형성 평가 모니터링 시스템의 설계 구현)

  • Lawal Alabe Wale;Kimleang Kea;Youngsun Han;Tea-Kyung Kim
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.61-69
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    • 2023
  • In recent years, due to heightened environmental awareness, Electric Power Steering (EPS) has been increasingly adopted as the steering control unit in manufactured vehicles. This has had numerous benefits, such as improved steering power, elimination of hydraulic hose leaks and reduced fuel consumption. However, for EPS systems to respond to actions, sensors must be employed; this means that the consistency of the sensor's linear variation is integral to the stability of the steering response. To ensure quality control, a reliable method for detecting defects and assessing linearity is required to assess the sensitivity of the EPS sensor to changes in the internal design characters. This paper proposes a data-driven defect and linearity assessment monitoring system, which can be used to analyze EPS component defects and linearity based on vehicle speed interval division. The approach is validated experimentally using data collected from an EPS test jig and is further enhanced by the inclusion of a Graphical User Interface (GUI). Based on the design, the developed system effectively performs defect detection with an accuracy of 0.99 percent and obtains a linearity assessment score at varying vehicle speeds.

A study on the development of a environment-friendly vehicle device (친환경 자동차 부품 개발에 대한 연구)

  • Lee Eung-Shin;Lee Jang Moo;Song Jun Gyu
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.335-338
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    • 2005
  • Starting with the development of environmentally friendly electric controlled engine, sensors have played an increasing role in automotive technology. Electric power steering (EPS) systems are more and more replacing hydraulic systems. To improve fuel economy, the power assistance is provided by an electric drive. In this paper, development of a unique torque sensor for EPS is introduced. A capacitive type torque sensor is concluded to be suitable for EPS because its output is accurate, linear and robust against the variance of temperature, and patents have not applied so much.

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IMPROVING METHOD FOR VERIFYING STEERING ANGLE SIGNAL OF EPS (차량용 EPS의 조향각 신뢰성 향상 제안)

  • Jang, Hyunseop;Kwon, Dowook;Han, Sangwhi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1507-1510
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    • 2012
  • 본 논문은 EPS(전자식 파워 스티어링)에 사용되는 Torque and Angle sensor 의 절대각 신뢰성 보증 방식에 관한 것으로, Inductive 방식의 센서에서 절대각 신호 신뢰성 보증에 대한 효과적인 방법을 제시한다. 전동식 파워 스티어링 시스템의 ECU(전자제어유닛)는 조타각도를 출력하는 2 개의 소자에서 버니어 알고리즘을 통해 360 도 이상의 멀티 조타각을 인식하게 된다. 토크&조향각 센서는 절대 조향각을 계산하는 1 개의 Hall IC 소자 신호와, 상대 조향각을 계산하는 ASIC 소자 신호를 사용하여 멀티 조타각을 인식한다. 인식된 조타각이 추가적인 검증 절차 없이 제어에 사용된다면, 센서의 이상 발생 시에 운전자의 조타감을 불편해질 수 있고, 나아가서는 차량사고의 위험을 발생시킬 수 있다.따라서 차량 거동 시 절대 조향각의 신뢰성 검증은 제어와 동시에 항상 요구되어야 한다. 특히, 유럽/미국 업계의 ISO 26262 표준 도입에 따라 절대 조향각의 높은 신뢰성이 요구된다. 본 논문에서는 이러한 요구사항을 만족하기 위해 측정된 절대각 신호를 기준으로 상대각 신호 2 개를 측정에 사용하고, Driving 시에도 절대각 기준의 신뢰도 향상을 위해 절대각 신호 1 개를 비교기로 사용한다. 최적화된 에러 기준을 근거로 절대 조향각 신호의 신뢰성을 보장하는 방법을 제안한다. 이러한 방법을 적용한다면, 정확하고 안정적으로 조타각을 결정함으로써 EPS 안전성 확보에 도움을 줄 수 있다.

Control Logic Using Torque Map for a Column-Type Electric Power Steering System (토크맵을 이용한 칼럼형 전기식 동력조향 시스템의 제어로직)

  • 김지훈;송재복
    • Transactions of the Korean Society of Automotive Engineers
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    • v.8 no.4
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    • pp.186-193
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    • 2000
  • EPS(Electric Power Steering) systems have many advantages over traditional hydraulic power steering systems in space efficiency engine efficiency and environmental compatibility. In this paper an EPS system control logic using a torque map is proposed. The main function of the EPS system is to reduce the steering torque exerted by a driver by assist of an electric motor. Vehcile speed steering torque and steering wheel angle are measured and fed back to the EPS control system where appropriate assist torque is generated to assist the operator's steering effort. Another capability of the EPS system for easy adaptation to different steering feels via simple tuning is demonstrated by the experiments. It will be also verified that the EPS system can also improve damping and return performance of the steering wheel by control of the assist motor.

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Principle of Design and Performance of the Torque Sensor for a Electrical Power Steering (전동식 파워스티어링(EPS)용 토크센서의 설계원리와 성능테스트)

  • Lee Eung-Shin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.13 no.5
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    • pp.121-126
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    • 2005
  • This paper describes the attributes, performance and development status of a high performance capacitive torque sensor intended for use in a electric power steering (EPS) system. The EPS system is composed of torque sensor, ECU, motor, gears and etc. Among the elements, torque sensor in the steering column is one of the core technologies. The new capacitive torque sensor in this paper is developed differently from working principle and mechanical structure compare to extant torque sensors in market and patent. Based on the result of numerical analysis, a experimental equipment is made which is composed of a test jig and a capacitive sensor and validity of numerical analysis and feasibility of the torque sensor are verified.

Design of Amorphous Magnetic Materials for high frequency Sensors Based Upon Permalloy Characteristics (퍼멀로이 특성을 기초로 한 고주파 센서에 사용되는 비정질 자성재료의 개발)

  • Yoo, C.K.;Kim, C.K.;Chung, Y.C.;O'handley, R.C.
    • Journal of the Korean institute of surface engineering
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    • v.32 no.6
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    • pp.677-685
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    • 1999
  • 급속히 발전하고 있는 EPS 기술에 사용되고 있는 조화센서의 제조에 대해 연구하였다. 연구의 중점은 기본적으로 EPS 시스템에 사용되는 센서물질의 자성적 특성에 두었다. 조화 센서로서 사용되기 위한 주요 특징으로는 자기 이방성이 거의 0인 특서에서 기이나는 B-H곡선에서의 비선형성이다. 이와 관련하여 높은 신호를 발생하기 위한 자벽의 움직임과 자장열처리에 관하여 기술하였다.

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EPS Gesture Signal Recognition using Deep Learning Model (심층 학습 모델을 이용한 EPS 동작 신호의 인식)

  • Lee, Yu ra;Kim, Soo Hyung;Kim, Young Chul;Na, In Seop
    • Smart Media Journal
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    • v.5 no.3
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    • pp.35-41
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    • 2016
  • In this paper, we propose hand-gesture signal recognition based on EPS(Electronic Potential Sensor) using Deep learning model. Extracted signals which from Electronic field based sensor, EPS have much of the noise, so it must remove in pre-processing. After the noise are removed with filter using frequency feature, the signals are reconstructed with dimensional transformation to overcome limit which have just one-dimension feature with voltage value for using convolution operation. Then, the reconstructed signal data is finally classified and recognized using multiple learning layers model based on deep learning. Since the statistical model based on probability is sensitive to initial parameters, the result can change after training in modeling phase. Deep learning model can overcome this problem because of several layers in training phase. In experiment, we used two different deep learning structures, Convolutional neural networks and Recurrent Neural Network and compared with statistical model algorithm with four kinds of gestures. The recognition result of method using convolutional neural network is better than other algorithms in EPS gesture signal recognition.

3D FE Analysis of Hall Effect Torque Sensor and Shape Design of Its Stator teeth (홀소자 토크센서의 3차원 유한요소해석 및 고정자 치 형상설계)

  • Lee, Bo-Ram;Kim, Young-Sun;Park, Il-Han
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.702_703
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    • 2009
  • Electric Power Steering(EPS) system is superior to conventional Hydraulic Power Steering(HPS) system in aspect of fuel economy and environmental concerns. The EPS system consists of torque sensor, electric motor, ECU(Electric Control Unit), gears and etc. Among the elements, the torque sensor is one of the core technologies of which output signal is used for main input of EPS controller. Usually, the torque sensor has used torsion bar to transform torsion angle into torque. The torsion angle of both ends of a torsion bar is measured by a contact variable resistor. In this paper, the sensor is accurately analyzed using 3D finite element method and its characteristics with respect to four different shapes of the stator teeth are compared. The four shapes are rectangular, triangular, trapezoidal and circular type.

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