• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1141-1142
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• 2023

본 연구는 4륜 독립 구동·제동·조향 차량의 모드 천이 논리 알고리즘에 관한 연구로서, 일반적인 주행 스타일 외에도 다양한 주행 스타일을 가지는 차량에서 주행 모드 전환 간에 고려되어야 하는 조건들을 다룬다. 주행 모드 전환 간에 Static Transition과 Dynamic Transition이 가능하며 Static Transition 방식이 일반적이지만 저속 상태에서 차량이 충분히 정렬되어 있다면 FWS 주행, 동상 주행, 역상 주행 간의 Dynamic Transition도 가능할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1145-1146
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• 2023

모빌리티 기술이 발전함에 따라 기존 차량에서 선보이지 못했던 다양한 주행기술이 가능해졌고, 이에 따라 많은 장점을 지닌 모빌리티 기술들이 등장하고 있다. 4 륜 독립 구동, 제동, 조향 시스템은 바퀴 별 독립 제어가 가능하여 여러 주행 모드를 구현할 수 있다. 본 연구에서는 4 륜 독립 구동, 제동과 독립 조향이 가능한 모빌리티 플랫폼에 대해 평행 주행, 제자리 회전, 축 회전 주행 등을 구현하는 방안과, 더 나아가 각도 속도를 일정하게 유지함으로써 오차를 최소화하는 제어 방법에 대해 살펴보고자 한다.

• Journal of the KSME
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• v.32 no.10
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• pp.847-857
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• 1992

일반적으로 자동차의 샤시(chassis)라 하면 총체적인 개념에서 자동차로부터 차체(body)를 제외한 부분을 일컫는데, 구동 및 제동장치, 바퀴 현가장치, 조향장치, 타이어 및 휠 등이 이에 속한다. 1970년대 마이크로 컴퓨터의 응용기술이 도입되면서 엔진분야에서 시작한 자동차 전자화기술은 구동 및 제동분야에서의 전자제어식 제동잠김 및 구동 미끄럼방지 시스템(ABS/TCS)의 응용기 술을 거쳐 1980년 중반부터 차량의 현가 및 조향분야에서 능동형의 시스템이 개발되기 시작하 였다. 그 대표적인 예로서 자동차용 적응식 및 반 능동식 가변댐퍼(variable damper), 능동식 현가시스템(active suspension system) 그리고 4륜조향 시스템(four wheel steering system)을 들 수 있다. 1990년대에 들어서는 이러한 각종 능동형 시스템이 종합적으로 고려되어 설계되는 이 른바 자동차의 샤시 통합제어 시스템(chassis integrated control system)또는 능동형 샤시 시스템 (active chassis system)으로 발전되어 가고 있는 추세에 있다. 이 글에서는 최근에 가장 대표 적인 능동형 샤시시스템으로서 각종 능동식 현가시스템 및 4륜조향 시스템의 개발동향 및 기 술적, 경제적인 측면에서의 종합적인 검토를 하고자 한다.

• Journal of the Korean Society for Railway
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• v.10 no.4
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• pp.444-450
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• 2007

The bi-modal tram guided by the magnetic guidance system has two car-bodies and three axles. Each axle of the vehicle has an independent suspension to lower the floor of the car and improve ride quality. The turning radius of the vehicle may increase as a consequence of the long wheel base. Therefore, the vehicle is equipped with the All-Wheel-Steering(AWS) system for safe driving on a curved road. Front and rear axles should be steered in opposite directions, which means a negative mode, to minimize the turning radius. On the other hand, they also should be steered in the same direction, which means a positive mode, for the stopping mode. Moreover, only the front axle is steered for stability of the vehicle upon high-speed driving. In summary, steering angles and directions of the each axle should be changed according to the driving environment and steering mode. This paper proposes an appropriate AWS control algorithm for stable driving of the bi-modal tram. Furthermore, a multi-body model of the vehicle is simulated to verify the suitability of the algorithm. This model can also analyze the different dynamic characteristics between 2WS and AWS.

• Transactions of the Korean Society of Automotive Engineers
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• v.4 no.2
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• pp.209-220
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• 1996

In this paper, dynamic performance of 4WD/4WS Electric-driven vehicles is investigated. A coupled dynamic model is introduced for longitudinal, lateral and yawing motion of 4WD/4WS vehicles. Based on the coupled model, dynamic performance is analyzed for steady-state steering, acceleration steering and brake steering, respectively. These non steady-state cornering analysis is important for non-paved road maneuvering, trajectory projection for armored vehicle and future AVCS(Advanced Vehicle Control System) technology. Simulation results are obtained based on a simulink module for the introduced model.

• Transactions of the Korean Society of Automotive Engineers
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• v.2 no.5
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• pp.101-109
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• 1994

Recently, four-wheel steering systems have been developed and studied as one of the latest automotive technologies for improving the handling characteristics of a vehicle. In much of the proposed four-wheel steering systems, the side slip angle at the vehicle's center of gravity is maintained at zero. This approach allows the greater maneuverability at low speed by means of counter-phase rear steering and the improved stability at high speed through same-phase rear steering. In this paper, the effects of several four-wheel steering systems are studied and discussed on the responsiveness and stability of the vehicle by using the linear analysis. Especially, the effects of the cornering stiffnesses of both front and rear wheels are investigated on the yaw velocity gain and critical speed of the vehicle.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.4
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• pp.12-24
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• 1997

An intelligent steering control system is designed for the steering control of a 4 wheel drive (4WD) electric vehicles without steering mechanism, where the vehicle is assumed to have 3 degree of freedom and input-output feedback linearization is employed. Especially, a fuzzy-rule-based side force estimator is suggested to avoid uncertain highlynonlinearexpression sof relations between side forces and their factors. Also, aneural-network-based predictive compensator is additionally utilized for the vehicle model to be correctly controlled with unstructured uncertainties. The proposed overall control system is numerically shown to be robust against drastic change of the external environments.

• Transactions of the Korean Society of Automotive Engineers
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• v.4 no.6
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• pp.39-51
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• 1996

In the turning maneuver of the vehicle, its motion is mainly dependent on the genuine steering characteristics in view of the directional stability for stable turning ability. The under steer vehicle has an ability to maintain its own directonal performance for unknown external disturbances to some extent. From a few years ago, in order to acquire the more enhanced handling performance, some types of four wheel steering vehicle were considered and constructed. And, various rear wheel control logics for external disturbances has not been suggested. For this reason, in this posed rear wheel control logic is based on the yaw rate feed back type and is slightly modified by an yaw rate tuning factor for more stable turning performance. And an external disturbance is defined as a motivation of the additional yaw rate in the center of gravity by an uncertain input. In this study, an external disturbance is applied to the vehicle as a form of the additional yawing moment. Finally, the proposed rear wheel control logic is tested on the multi-body analysis software(ADAMS). J-turn and double lane change test are performed for the validation of the control logic.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.795-800
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• 2008

The paper presents research for the established experiment environment of multi vehicle robot, localization algorithm that is based on vehicle control, and path tracking. The established experiment environment consists of ultrasonic positioning system, vehicle robot, server and wireless module. Ultrasonic positioning system measures positioning for using ultrasonic sensor and generates many errors because of the influence of environment such as a reflection of wall. For a solution of this fact, localization algorithm is proposed to determine a location using vehicle kinematics and selection of a reliable location data. And path tracking algorithm is proposed to apply localization algorithm and LOS, finally, that algorithms are verified via simulation and experimental

• Transactions of the Korean Society of Mechanical Engineers A
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• v.23 no.6 s.165
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• pp.931-942
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• 1999

This paper develops a 3 DOF vehicle model which includes lateral, roll and yaw motion to study a 4WS vehicle. The model is used for the simulation of a 4WS vehicle behavior, and to derive a control algorithm for rear wheel steering. This paper uses a feedforward plus feedback control scheme to compute a rear wheel steering angle. The feedforward control scheme for computing the first rear wheel steering angle uses a gain which is acquired by multiplying a proper value on a gain to maintain a zero sideslip angle. The feedback control scheme for computing the second rear wheel steering angle uses fuzzy logic and model following control scheme. A linear 2 DOF model is used as a reference model for model following control, and is derived from the developed 3 DOF model by neglecting sprung mass roll motion. A reference state variable is yaw rate, and is computed using the linear 2 DOF model. J-turn and lane change maneuver simulation are performed to show the effectiveness of the developed control scheme. The simulation results show that the 4WS vehicle with the developed control scheme has much better performance in yaw rate, lateral acceleration, roll angle, and sideslip angle than the 2WS vehicle. Also, the results show that the performance of the developed control is close to the one of an optimal control which assumes all states are perfect.