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김정주,전정일,변용규,노광춘,정정주,전태건,Kim, Chung-Joo,Chun, Jeong-Il,Byun, Yong-Kyu,Ro, Kwang-Choon,Chung, Chung-Choo,Jeong, Tae-Gun 대한기계학회 1997 大韓機械學會論文集A Vol.21 No.11
As track density needs to increase to the order of 10, 000 tpi, the suspension has become a critical component in hard disk drives. One of the main obstacles to attain high track density is the structural resonances of the suspension in lateral direction. We investigate the suspension dynamics through the experimental modal analysis and the finite element method. An LDV (Laser Doppler Vibrometer) is employed to measure the response of the suspension which is excited by a shaker and an inpulse hammer for the free condition and the loaded condition, respectively. After comparing the experimental and numerical results, we study how the initial geometry of the bend region affects the suspension dynamics. It is found that the natural frequency of the sway mode decreases as the bend ratio and the bend angle increase. The shape of torsional mode changes as the mass of a slider increases, resulting in a local decrease in the natural frequency.
가상 끌기 전략을 이용한 클로소이드 경로 생성 기반 자동 주차 제어
김대정(Dae Jung Kim),정정주(Chung Choo Chung),이승희(Seung-Hi Lee) 한국자동차공학회 2020 한국자동차공학회 부문종합 학술대회 Vol.2020 No.7
This paper proposes a clothoid path planning based autonomous parking control using a virtual towing strategy. Path planning is one of the core components in the autonomous parking system. However, the algorithms such as circle-circle and circle-line-circle have a limitation of the discontinuous curvature while previous clothoid path planning methods require a lot of computational time. To revolve these problems, we present a simple but effective clothoid path planning based decentralized control algorithm using the virtual towing. It is advantageous to converge to the origin of the parking coordinates as well as to make continuous path satisfying clothoid constraints. The presented algorithm results that the vehicle converges smoothly to the parking spot through the real-car test.
상대 차량의 움직임 판단을 위한 특징벡터 커널링 기반 멀티클래스 서포트 벡터 머신
김대정(Dae Jung Kim),정정주(Chung Choo Chung) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
In this paper, we propose a feature vector kernelling method for the multi-class support vector machine (MSVM) in the object vehicle motion classification. Since the conventional radar system has the limitation of low resolution of lateral information, it is difficult to be utilized in advanced driver assistant systems. The MSVM is used to resolve this problem in an object vehicle motion classification problem. For the feature vector of the MSVM, we present a feature vector kernelling method using Kalman filter. The proposed algorithm was validated with a data set not included in the training data set. From the experimental results, we observed that the proposed system can identify the cut-in/out situation.