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ACC 시스템 ECU 검증을 위한 Brake Hardware-in-the-Loop Simulation System 개발
문일기(Ilki Moon),이경준(Kyoungjun Lee),이경수(Kyongsu yi),이인식(Insik Lee) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper describes an investigation of the Brake HiLS(Hardware-in-the-loop Simulation) System for verification of ACC System ECU. Since vehicle tests are costly and time consuming, how to establish an efficient and low cost development system is an important issue. Brake HILS system prevents the error that occurs in case of modeling the hydraulic system of ESP module, and has an advantage of developing ECU for ACC System by using interface which is same as real vehicle environment. Brake HiLS system consists of a brake pressure control unit, ACC System ECU, target computer for realtime simulation and host computer which is used to control the target computer and to save simulation data. This paper also includes the test result of Brake HiLS system in low speed driving scenario with stop situation.
문일기(Il-ki Moon),이재관(JaeKwan Lee),민석기(Sukki Min),이건복(Gunbok Lee),이경수(Kyongsu Yi) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In practical applications, most of front vehicle detection sensors cannot return clear signals because of an environment of randomly distributed clutter. Interacting multiple model - Probabilistic data association filter(IMM-PDAF) algorithm has a good multi-target tracking performance and a bounded computational load. A multi-target collision warning application using multiple model probability of IMM-PDAF is presented in this paper.
문일기(Ilki Moon),이경수(Kyongsu Yi),이재관(Jaekwan Lee),김병수(Byoungsoo Kim) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In practical driving situation, Adaptive Cruise Control (ACC) system has to need a function that is determination of primary target among several forward vehicles. We present a multi-target tracking (MTT) ACC system which consists of three Part; track estimator using IMM-PDAF, a Primary target vehicle determination algorithm and a single-target adaptive cruise control algorithm. Three motion models: uniform motion, lane-change motion and deceleration motion, which are validated using simulated and experimental data, are adopted to distinguished large lateral motions from longitudinally· excited motions. The improvement in the state estimation performance when using three models is verified in target tracking simulations. The performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data.
문일기(II-Ki Moon),권영관(YoungKwan Kwon),이경수(Kyongsu Yi) 한국자동차공학회 2003 한국자동차공학회 Symposium Vol.2003 No.8
Recently. Adaptive Cruise Control(ACC) system has been commercialized by major automobile companies. Because there are the subtle differences between the driving style of ACC system and that of human driver. the importance of human driver's driving characteristics have been increasingly recognized. In this papers. the driver's driving behavior characteristics and a driver-adaptive control algorithm have been investigated. By the use of CAN(Controller Area Network). several vehicle states were obtained. Experimental vehicle was also equipped with brake pedal force sensor and three accelerometers. A step toward understanding human driving patterns would be to study the relation among time-gap. Time-to-collision. clearance. relative-speed. etc. We compare the simulation results of the driver-adaptive control algorithm based on human driving data with those of nominal ACC algorithm. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore. it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.<br/>
문일기(Moon Il ki),이경수(Yi Kyongsu) 대한기계학회 2004 대한기계학회 춘추학술대회 Vol.2004 No.11
A vehicle cruise control algorithm using an Interacting Multiple Model (IMM)?based Multi-Target Tracking (MTT) method has been presented in this paper. The vehicle cruise control algorithm consists of three parts; track estimator using IMM-Probabilistic Data Association Filter (PDAF), a primary target vehicle determination algorithm and a single-target adaptive cruise control algorithm. Three motion models; uniform motion, lane-change motion and acceleration motion, have been adopted to distinguish large lateral motions from longitudinal motions. The models have been validated using simulated and experimental data. The improvement in the state estimation performance when using three models is verified in target tracking simulations. The performance and safety benefits of a multi-model-based MTT-ACC system is investigated via simulations using real driving radar sensor data. These simulations show system response that is more realistic and reflective of actual human driving behavior.
초고속 선박의 저항 성능 예측을 위한 패널 민감도에 대한 연구
최희종,문일기 한국기계기술학회 2018 한국기계기술학회지 Vol.20 No.2
The purpose of this study was to investigate the resistance performance and the sensitivity of the panels placed on the free surface of the water using the potential-based Rankine source panel method. The potential-based Rankine source panel method was applied to predict a flow phenomena around a ship and the exact nonlinear free surface boundary conditions were adopted. The trim and sinkage state of the ship also were taken into account. In order to deal with complex geometries of the planing ship the panel cutting method was adopted. The R/V Athena ship was adopted as the high speed ship. Numerical analysis was carried out by systematically changing the range and number of panels in the free surface area, and the results were compared with each other.