• Transactions of the Korean Society of Automotive Engineers
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• v.3 no.6
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• pp.176-187
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• 1995

The problem of designing intelligent cruise control system for a longitudinal motion of an automobile, which is powered by internal combustion engines coupled to an automatic multispeed transmission, is considered. The basic concept is a vehicle-following system which maintains desired spacing between vehicles. This system actuates throttle with the information of the spacing error so as to maintain proper spacing and improve passenger ride comfort. In designing the controller, a modified controller, i.e, PID gain scheduling and fuzzy controller with fuzzy compensator was developed in order to overcome the nonlinearities of the automobile and obtain better performance. The computer simulation results illustrate that the better vehicle responses were obtained with the modified fuzzy controller and, under this controller, the vehicle responses were found to be relatively insensitive to parameter variations.

• Proceedings of the KSME Conference
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• 2000.11a
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• pp.641-646
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• 2000

This paper addresses a throttle/brake control law for stop and go cruise control systems which make the vehicle remain at a safe distance from a preceding vehicle according to the driver's preference, automatically slow down and come to a full stop behind a preceding vehicle. The uncertainties of vehicle model have been considered in the design of the control law. The effect of throttle/brake control has been investigated via simulations. The simulations were performed using a complete nonlinear vehicle model. The results indicate that the proposed throttle/brake control law can provide the stop and go cruise control system with a good distance tracking performance.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.5
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• pp.206-213
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• 2002

This paper proposes a vehicle trajectory prediction method for application to vehicle-to-vehicle distance control. This method is based on 2-dimensional kinematics and a Kalman filter has been used to estimate acceleration of the object vehicle. The simulation results using the proposed control method show that the relative distance characteristics can be improved via the trajectory prediction method compared to the customary vehicle stop and go cruise control systems which makes the vehicle remain at a safe distance from a preceding vehicle according to the driver's preference, automatically slow down and come to a full stop behind a preceding vehicle.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.8
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• pp.1157-1162
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• 2013

This thesis describes the active cruise control which is a part of AVHS(Advanced Vehicle and Highway System) in the ITS(Intelligent Transportation Systems). The active cruise control is a system which recognizes some obstructions and vehicles in front, drives in safe speed and puts on the brake in dangerous situations as the driver simply turns on the switch without stepping on the accelerator and brake. PID controller is used in the speed-control by linearizing the longitudinal model of the vehicle, obstacle detecting algorithm which makes use of the laser scanner is proposed to recognize the situation in front and the system's performance is tested.

• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.5
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• pp.115-121
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• 2001

A driving load estimation method for intelligent cruise control(ICC) vehicles has been proposed in this paper. Vehicle driving load is one of the most important factors of perturbations in vehicle control and can affect the control performance critically. The effect of the control with driving load estimation on vehicle-to-vehicle distance control has been presented and investigated via computer simulations and vehicle tests. The results show that vehicle-driving-load-adaptive control can provide an ICC system with a good acceleration tracking performance. In addition, the results show that driving load estimation can compensate not only the variation of driving load but also the modeling errors.

• Proceedings of the KSME Conference
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• 2000.11a
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• pp.653-658
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• 2000

A driving load estimation method for intelligent cruise control(ICC) vehicles has been proposed in this paper. The driving load is one of the most important factors of perturbations in vehicle control and can affect the control performance critically. The Effect of the control with driving load estimation on vehicle-to-vehicle distance control has been presented and investigated via computer simulations and vehicle tests. The results show that the control with driving load estimation can provide ICC system with a good acceleration tracking performance. In addition, the results show that driving load estimation can compensate not only variation of driving load but also the modeling errors.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.281-285
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• 2013

In this paper, a design scheme of a cruise control system for an electric vehicle using piece-wised PD control is proposed. Cruise control of electric vehicles is one of the major performance elements. Drive motors having linear characteristics ideally is required in order to achieve the cruise driving. But practical motors have nonlinear characteristics and the performance of the motors can be improved by the closed-loop control to compensate it. In this paper, we improved the performance of by applying piece-wised PD control because the driving motors having nonlinear characteristics are difficult to obtain adequate performance only using closed-loop control. In order to test the proposed method, the experiments were carried out by applying the proposed method after setting up an electric vehicle equiped with a driving motors having large nonlinear characteristics. The experiment results of the proposed piece-wised PD control shows better performance than that of closed-loop control.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.1
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• pp.68-75
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• 1998

The Intelligent Cruise Control system, ICC, is a driver assisting system for controlling relative speed and distance between two vehicles in the same lane. The ICC may be considered as an extension of a traditional cruise control, not only keeping a fixed speed of the vehicle, but correcting the speed also to that of a slower one ahead. This paper presents a real-time self-tuning fuzzy control algorithm to develop ICC. The self-tuning fuzzy control law is adopted to reduce the effects of nonlinearities of the vehicle and various road environments. In the self-tuning algorithm an interior penalty method is applied to preserve the inherent order of membership functions and is modified as an on-line algorithm for real time application. Via simulations, the performance of the suggested control algorithm is compared with a PID and a fuzzy control without self-tuning. The suggested control algorithm is implemented on PRV III and the results of the test driving on a local road are given.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.1 no.1
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• pp.70-78
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• 2002

Advanced safety vehicle (ASV) equipped with intelligent drivers advisory functions for controlling vehicle to follow the lead vehicle and/or warning drivers on forward traffic impediments according to the roadway and traffic circumstances has been recently developed and on the market internationally. Standardization processes for ASV system functions have been issued in IS0/TC204 Working Group 14 (Vehicle/Roadway Warning and Control System) since 1995. Research projects developing test and evaluation technologies for ASV in establishing safety standards and/or conformity related to the national roadway and traffic circumstances are under study internationally. In Korea, an integrated test and evaluation Program was developed for the assessment of adaptive cruise control (ACC) system under the ITS research and development projects funded by the Ministry of Construction and Transportation (MOCT). This paper demonstrates the integrated test and evaluation Programs for ACC system based on the draft international standard with related to the domestic roadway and traffic conditions. Field tests fulfilled under the scenarios based on the integrated test & evaluation programs for ACC system are discussed along with a review of earlier research work regarding international standards and the safety regulations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.224-227
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• 1997

기존의 정속 주행시스템은 운전자가 설정하는 속도만을 유지하는 것으로, 교통량의 증가로 현재는 그 사용이 전무한 상태이다. 하지만, 심각한 교통흐름의 정체, 배기가스로 인한 환경오염 등의 문제가 최근에 대두되면서, 이러한 환경에 적절하게 적응할 수 있는 정속 주행장치의 개발이 활발하게 진행중이다. 따라서, 본 논문에서는 기존의 정속주행시스템에 Fuzzy 개념을 도입하여 좀더 안락하면서도 연료의 효율을 극대화할 수 있는 지능형 차량 정속주행 제어기를 설계, 그 성능을 평가하고자 한다. 하드웨어 구성은 기존에 사용되고 있는 cruise actuator를 이용하여 throttle valve의 각도를 제어하도록 한다. 여기서 cruise actuator를 동작시키기 위해 cruise controller로 i80c196 마이크로 콘트롤러를 사용한다.