• Title/Summary/Keyword: steering

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An Experimental Study on Steering Performance of Tracked Vehicle on Deep-sea Cohesive Soft Soil by DOE using Orthogonal Arrays (직교배열표 실험계획법에 의한 심해저 점착성 연약지반용 무한궤도차량의 선회성능에 대한 실험 연구)

  • Choi, Jong-Su;Hong, Sup;Kim, Hyung-Woo
    • Journal of Ocean Engineering and Technology
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    • v.20 no.4 s.71
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    • pp.37-42
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    • 2006
  • This paper is concerned with experimental investigation of steering performance of a tracked vehicle on extremely soft soil. A tracked vehicle model with principal dimensions of 0.9 m(L)x0.75 m(B)x0.4 m(H) and weight of 167 kg was constructed with a pair of driving chain links, driven by two AC-servo motors. The tracks were configured with detachable grousers with variable span. A deep seabed was simulated by means of a bentonite-water mixture in a soil bin of 6.0 m(L)x3.7 m(B)x0.7 m(H). The turning radii of vehicle and driving torques of motors were measured with respect to experiment variables: steering ratio, driving speed, grouser chevron angle, grouser span, and grouser height. L8 orthogonal table is adopted for DOE (Design of experiment). The effects of experiment variables on steering performance are evaluated.

Torque Ripple Reduction of a PM Synchronous Motor for Electric Power Steering using a Low Resolution Position Sensor

  • Cho, Kwan-Yuhl;Lee, Yong-Kyun;Mok, Hyung-Soo;Kim, Hag-Wone;Jun, Byoung-Ho;Cho, Young-Hoon
    • Journal of Power Electronics
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    • v.10 no.6
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    • pp.709-716
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    • 2010
  • MDPS (motor driven power steering) systems have been widely used in vehicles due to their improved fuel efficiency and steering performance when compared to conventional hydraulic steering. However, the reduction of torque ripples and material cost are important issues. A low resolution position sensor for MDPS is one of the candidates for reducing the material costs. However, it may increases the torque ripple due to the current harmonics caused by low resolution encoder signals. In this paper, the torque ripple caused by the quantized rotor position of the low resolution encoder is analyzed. To reduce the torque ripples caused by the quantization of the encoder signals, the rotor position and the speed are estimated by measuring the frequency of the encoder signals. In addition, the compensating q-axis current is added to the current command so that the 6th order torque harmonic is attenuated. The reduction of torque ripples by applying the estimated rotor position and the compensated q-axis current is verified through experimental results.

Development of Autonomous Steering Platforms for Upland Furrow (노지 밭고랑 환경 적용을 위한 자율조향 플랫폼 개발)

  • Cho, Yongjun;Yun, Haeyong;Hong, Hyunggil;Oh, Jangseok;Park, Hui Chang;Kang, Minsu;Park, Kwanhyung;Seo, Kabho;Kim, Sunduck;Lee, Youngtae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.9
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    • pp.70-75
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    • 2021
  • We developed a platform that was capable of autonomous steering in a furrow environment. It was developed to autonomously control steering by recognizing the furrow using a laser distance, three-axis tilt, and temperature sensor. The performance evaluation indicated that the autonomous steering success rate was 99.17%, and it was possible to climb up to 5° on the slope. The usage time was approximately 40 h, and the maximum speed was 6.7 km/h.

Robust Steering Control with Side Slip and Yaw Damping Compensation Using Time Delay Control (TDC 제어를 이용한 측면슬립 및 댐핑보상 강성제어)

  • Lee, Seon Bong;Choi, Hae Woon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.4
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    • pp.10-15
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    • 2019
  • In this paper, we report a robust steering control using time delay control for the vehicle dynamics variation due to tire/road contact condition variation, the lateral disturbance force due to the side wind, and the yaw disturbance moment due to the difference between the left and right tires' pneumatic pressure. We controlled the side slip and yaw damping compensation for rapid steering at the high velocity of the vehicle. Based on the developed control, the driver can only consider the desired path without concerning on the vehicle dynamics variation, disturbances, and undesired side slip and yaw oscillations. Simulation results show that robustness from the vehicle dynamics variation and disturbances was achieved by using the developed time delay control. We evaluated the side slip and yaw damping compensation capability for the rapid steering at the high velocity of the vehicle in the cases of three control methods.

Development of Radar Beam Steering Measurement System and measurement Boresight Error (레이다 빔조향 특성 측정 장치 개발 및 보어 사이트 에러 측정)

  • Yong-kil Kwak
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.546-551
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    • 2023
  • In this study, a beam steering measurement system was developed to perform functions such as far-field beam steering and near-field beam focusing for TX/RX modes in the near file of the AESA radar. The beam steering measurement system consists of a spherical near-field scanner, an antenna positioner, a near-field controller, a network analyzer, a radar control system, a verification radar, a simulated radio, and an AESA radar. Using the developed system, the characteristics of TX/RX patterns before and after installation of radome to AESA radar were measured, and the beam pattern was analyzed through conversion to far field-after near-field measurement.The boresight error of the radar antenna device was measured, and it was confirmed that the main lobes were formed the same before and after the simulated radar dome was mounted.

CNN-LSTM based Autonomous Driving Technology (CNN-LSTM 기반의 자율주행 기술)

  • Ga-Eun Park;Chi Un Hwang;Lim Se Ryung;Han Seung Jang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1259-1268
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    • 2023
  • This study proposes a throttle and steering control technology using visual sensors based on deep learning's convolutional and recurrent neural networks. It collects camera image and control value data while driving a training track in clockwise and counterclockwise directions, and generates a model to predict throttle and steering through data sampling and preprocessing for efficient learning. Afterward, the model was validated on a test track in a different environment that was not used for training to find the optimal model and compare it with a CNN (Convolutional Neural Network). As a result, we found that the proposed deep learning model has excellent performance.

Development of An Automated Design System for Suspension and Steering parts (자동차 현가 및 조향 장치 부품설계 자동화 시스템 개발)

  • 이광일;정승용;조희봉;강재관
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.352-356
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    • 2002
  • In this paper, an automated design system of suspension and steering parts is developed. The system automates the processes of 3-D modeling and 2-D drafting of the parts. In addition, the BOM and dimension data of the designed part is also automatically transferred to the database of ERP system. The system is developed by using the functions of parametric design and API(application Programming Interface) of the a commercial solid modeler.

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Process Design of Automobile Steering Yoke with burring (버링 가공을 이용한 자동차 요크 제품의 가공 공정 설계)

  • 김병민
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.04a
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    • pp.151-154
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    • 2000
  • The yoke is used for joining the mechanical element of a spider and shaft in the steering system of automobiles. Conventional yoke forming processes are too complicated such as 4 stages bending and forming. The weight of yoke is also heavy than other components. New process is necessary to reduce the product weight to improve the strength and to reduce the costs. Process designed to reduce number of forming stages and to reduce its weight. To check the strength the stress analyses are performed between conventional yoke and developed one.

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A study on Vision based Steering Control for Dual Motor Drive AGV (영상시스템을 이용한 이륜속도차방식 AGV 조향제어)

  • Lee, Hyeon-Ho;Lee, Chang-Goo;Kim, Sung-Jong
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2277-2279
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    • 2001
  • This paper describes a vision-based steering control method for AGV which use dual motor drive. We suggest an algorithm which can be detect the guideline quickly and exactly for real time vision processing, and control the steering through an assign the CP (Control - Point) of input image. This method is tested via a IAGV which dual motor drive with a single camera in laboratory environment.

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