• Title/Summary/Keyword: Front-Wheel Steering(FWS)

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Setting method of virtual rigid axles for steering control (조향제어를 위한 가상고정축 설정 방법)

  • Moon, Kyeong-Ho;Mok, Jai-Kyun;Chang, Se-Ky;Lee, Soo-Ho;Park, Tae-Won
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.236-243
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    • 2007
  • Steering systems are classified as FWS(front-wheel steering), RWS(rear-wheel steering) and AWS(all-wheel steering) according to steering position. AWS is effective to reduce turning radius and platform length because all wheels are steered. Although various rear wheel control logics for AWS were developed, these are applied to four wheel steering cars. Therefore new control logics must be developed to apply articulated vehicles. In the present study, it is suggested how to control the real wheels based on the virtual rigid axles and also how to set it to minimize the turning radius.

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A Study on Controller Design to Improve the Driving Performance of the Four Wheel Steering Vehicle (4륜 조향 차량의 주행성능 개선을 위한 제어기 설계에 관한 연구)

  • Sohn, Ju-Han;Choi, Sung-Uk;Lee, Young-Jin;Lee, Jin-Woo;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2569-2571
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    • 2000
  • In the vehicle steering system, we can consider two methods to steer the vehicle. One is a front wheel steering(FWS), the other is a four wheel steering(4WS). The four wheel steering method has been recently introduced to improve the steering performance. In this paper, we present a design of the four wheel steering controller. First, we constructed the neural network two degree of freedom PID controller to control the 4WS system. Then we compared the performance of conventional PID controller with our proposed controller in terms of yaw rate and side slip velocity. The computer simulation results show that 4WS system controlled by the proposed controller has well driving performances than the other.

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Turning characteristics of articulated vehicles related to geometric design (기하학적 디자인과 관련한 굴절차량의 선회 특성 검토)

  • Moon, Kyeong-Ho;Mok, Jai-Kyun;Chang, Se-Ky;Kim, Yeon-Su;Lee, Soo-Ho
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.698-704
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    • 2007
  • Articulated vehicles which have a pivoting joint allowing the vehicle to rotate more easily are difficult to turn the curves because of their long length. In order to review operational safety, turning characteristics related to geometric design should be investigated when articulated vehicles run on the road which can be interfered with other vehicles. The vehicles to review the turning characteristics are the normal articulated bus in Seoul with FWS(front wheel steering) and new bimodal tram with AWS(all wheel steering). Steering characteristics and geometric design were investigated such as turning radius, offtracking, swept path width and swingout. The results were reviewed with respect to the standards of vehicle safety and road design.

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Development and Verification of the Steering Algorithm for Articulated Vehicles (굴절차량에 대한 조향알고리즘 개발 및 검증)

  • Moon, Kyeong-Ho;Lee, Soo-Ho;Mok, Jai-Kyun;Park, Tae-Won
    • Journal of the Korean Society for Railway
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    • v.11 no.3
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    • pp.225-232
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    • 2008
  • AWS (all wheel steering) is applied to improve the stability and the turning performance. Most automotive cars are mainly controlled by FWS (front wheel steering) system except some cars which are made to improve their stability by using AWS. Articulated vehicles with a pivoting joint for easy turn are difficult to make a sharp turn because of the long body and long wheelbase. Therefore applying AWS to the articulated vehicles is effective to reduce the turning radius. The AWS control method for the articulated vehicles is currently applied to only Phileas vehicles which were developed by APTS. The paper on the design of a controller to guide an articulated vehicle along the path was published but control algorithm for manual driving has not been reported. In the present paper, steering, characteristics of the Phileas vehicles have been analyzed and then new algorithm has been proposed. To verify the AWS algorithm, Commercial S/W, ADAMS was used for validity of the dynamic model and algorithm.