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GPS를 이용한 정지/서행 순항 제어와 충돌회피 통합제어 알고리듬 개발 및 시험 차량 성능 평가
김원균(Wongun Kim),이승종(Seungjong Yi),이경수(Kyongsu Yi) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper presents development of the stop-and-go cruise control algorithm integrated with collision avoidance algorithm and test results obtained using an electric vehicle. Sliding control theory has been used to develop a vehicle speed and distance control algorithm. A vehicle desired velocity has been designed based on the vehicle speed and distance control algorithm. The collision avoidance control was designed based on time-to-collision and warning index. The motor control inputs have been directly derived from the sliding control law. The performance of the control algorithm has been investigated through computer simulation and vehicle tests using an electric vehicle.
[차량운동성능부문] 장력조절기 제어를 위한 HIL 시뮬레이션
백승한(Seunghan Back),이승종(Seungjong Yi) 한국자동차공학회 2001 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2001 No.11_2
HIL(Hardware in the loop) simulation allows ECUs to be tested in a simulated enviorment in closed loop. In case of high mobility multibody tracked vehicle model, the degree of freedom of each track link should be considered in order to design ECU for track tension control. In this study a procedure for HIL simulation of the 2-D multi-body tracked vehicle for track tension control is presented. Simulation results show that 2-D multibody tracked vehicle model can be used for HILS of the dynamic track tension control system
권동근(DongKeun Kwon),이경수(Kyoungsu Yi),이승종(Seungjong Yi) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper describes the model-based roll state estimator for the vehicle rollover prevention control. The roll angle and roll rate are estimated with respect to the lateral motion of the vehicle and the road excitation. Two simple roll dynamics models for the model-based estimator are used. One is the model using lateral dynamics, the other is based on the suspension dynamics. The lateral dynamics and the suspension dynamics model-based estimator are such complemental relationship. For this reason, the proposed estimator combined the lateral and the suspension dynamics model-based estimator for better performance. The performance and the reliability of the proposed estimator under driving conditions are investigated by computer simulations.
이경준(Kyoungjun Lee),문승욱(Seungwuk Moon),이승종(Seungjong Yi),이경수(Kyongsu Yi) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
To design Human-Centered integrated cruise control and collision avoidance controller, we analyzed driving data of 125 human drivers. Deceleration characteristics of human driver were used in this controller as important parameters. Controlled vehicle deceleration is similar to human driver뭘 deceleration pattern. ACC/CA control algorithm consists of 4-operation modes. The collision avoidance operation mode is selected by non-dimensional warning index and the inverse Time-to-Collision(TTC?¹).
차량 전복 방지 제어를 위한 모델 기반 통합 롤 상태 추정기 설계
권동근(Dongkeun Kwon),이경수(Kyoungsu Yi),이승종(Seungjong Yi),윤장열(Jangyeol Yoon) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper describes a model-based roll state estimator for the detection of impending vehicle rollover. The vehicle rollover is induced by maneuvering and road disturbances. An estimator is designed based on two simple roll models. One is g a three-degree of freedom vehicle lateral dynamics model to estimate the maneuvering induced roll motion. The other is a fourdegree of freedom half-car suspension model to estimate the road disturbance induced roll motion. These model-based estimator use signals from steering wheel angle, lateral acceleration, yaw rate, and vertical acceleration which are available on a vehicle equipped with Vehicel Stability Contorl(VSC) System and Continous Damping Control (CDC) System. It is shown by simulation study that the proposed roll state estimator can provide good estimates of the roll motion.
강주용(Juyong Kang),이경수(Kyongsu Yi),이승종(Seungjong Yi),노기한(Kihan Noh) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper describes a human driver steering model developed based on finite preview optimal control method. The human driver steering model is constructed to minimize a performance index which is a quadratic form of lateral position error, yaw angle error and steering input. Simulation studies are conducted using Carsim. The Carsim vehicle model is validated using vehicle test data. The human driver steering model is compared to actual human driver test data. Neuromuscular system of human driver is investigated using laboratory tests and is included in the development of the human driver steering model. It is shown that human driver steering behaviors can be well represented by the Human driver steering model presented in this paper.
서문석(Mun-suk Suh),박동창(Dong-Chang Park),최진환(JinWhan Choi),이승종(Seungjong Yi),허건수(Kunsoo Huh),윤덕진(Dukjean yun),신장호(Janghoo Shin) 한국자동차공학회 2001 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2001 No.5_2
The mobility of tracked vehicles is mainly influenced by the interaction between tracks and soil, so that the characteristics of their interactions are quite important for the tracked vehicle study. In particular, the track tension is closely related to the maneuverability of tracked vehicles and the durability of tracks and suspension systems. In order to minimize the excessive load on the tracks and to prevent the peaI-off of tracks from the road-wheels, the Dynamic Track Tensioning System (DTTS) which maintains the optimum track tension throughout the maneuver is required. Because it is very difficult to measure the track tension in real-time, the track tension needs to be estimated for realizing the DTTS system. In this paper, track tension estimation methods are validated experimentally with real tracked vehicles. The tracked vehicles are instrumented with severaI sensors including gyro, accelerometer, LVDT, etc. The DSP processor board is programmed with the estimation algorithm and calculates the tension in real-time based on the measured output. The estimated tension is compared with the real tension that is measured by specially prepared DTIS sensors.<br/> <br/>