• 동력기계공학회지
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• 제8권4호
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• pp.24-30
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• 2004

In this study, a position synchronous control algorithm applied to two-axes pneumatic cylinder driving apparatus is proposed. The position synchronous control algorithm is composed of position controller and synchronous controller. The position controller is designed to minimize the effect of several nonlinear characteristics peculiar to the pneumatic cylinder driving apparatus on position control performance. The synchronous controller is designed to reduce the synchronous error. The effectiveness of the proposed controller is proved by simulation results.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.762-767
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• 2004

In this study, a position synchronous control algorithm being applied to two-axes pneumatic cylinder driving apparatus is proposed. The position synchronous control algorithm is composed of position controller and synchronous controller. The position controller is designed to minimize the effect of several nonlinear characteristics of the driving apparatus. The synchronous controller is designed to reduce the synchronous error. The effectiveness of the proposed controller is proved by simulation results.

• International Journal of Automotive Technology
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• 제7권2호
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• pp.227-235
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• 2006

In this paper a robust image processing method with modified Otsu algorithm to recognize the road lane for a real-time controlled autonomous vehicle is presented. The main objective of a proposed method is to drive an autonomous vehicle safely irrespective of road image qualities. For the steering of real-time controlled autonomous vehicle, a detection area is predefined by lane segment, with previously obtained frame data, and the edges are detected on the basis of a lane width. For stable as well as psudo-robust autonomous driving with "good", "shady" or even "bad" road profiles, the variable threshold with modified Otsu algorithm in the image histogram, is utilized to obtain a binary image from each frame. Also Hough transform is utilized to extract the lane segment. Whether the image is "good", "shady" or "bad", always robust and reliable edges are obtained from the algorithms applied in this paper in a real-time basis. For verifying the adaptability of the proposed algorithm, a miniature vehicle with a camera is constructed and tested with various road conditions. Also, various highway road images are analyzed with proposed algorithm to prove its usefulness.

• 제어로봇시스템학회논문지
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• 제21권3호
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• pp.199-209
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• 2015

This paper presents a model predictive control (MPC) approach to control the steering angle in an autonomous vehicle. In designing a highly automated driving control algorithm, one of the research issues is to cope with probable risky situations for enhancement of safety. While human drivers maneuver the vehicle, they determine the appropriate steering angle and acceleration based on the predictable trajectories of surrounding vehicles. Likewise, it is required that the automated driving control algorithm should determine the desired steering angle and acceleration with the consideration of not only the current states of surrounding vehicles but also their predictable behaviors. Then, in order to guarantee safety to the possible change of traffic situation surrounding the subject vehicle during a finite time-horizon, we define a safe driving envelope with the consideration of probable risky behaviors among the predicted probable behaviors of surrounding vehicles over a finite prediction horizon. For the control of the vehicle while satisfying the safe driving envelope and system constraints over a finite prediction horizon, a MPC approach is used in this research. At each time step, MPC based controller computes the desired steering angle to keep the subject vehicle in the safe driving envelope over a finite prediction horizon. Simulation and experimental tests show the effectiveness of the proposed algorithm.

• 드라이브 ㆍ 컨트롤
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• 제11권2호
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• pp.16-21
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• 2014

The purpose of this paper is to construct a control algorithm for improving the driving efficiency of 4-wheel-drive in-wheel electric vehicles. The main parts of the vehicle were modeled and the input-output relations of signals were summarized using MATLAB/Simulink. A performance simulator for 4-wheel-drive in-wheel electric vehicles was developed based on the co-simulation environment with a commercial dynamic behavior analysis program called Carsim. Moreover, for improving the driving efficiency of vehicles, a torque distribution algorithm, which distributes the torque to the front and rear wheels, was included in the performance simulator. The effectiveness of the torque distribution algorithm was validated by the SOC simulation using the FTP-75 driving cycle.

• 제어로봇시스템학회논문지
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• 제17권4호
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• pp.313-320
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• 2011

Multi-axle driving vehicles that are used in special environments require high driving performance, steering performance, and stability. Among these vehicles, 6WS/6WD vehicles with middle wheels have structural safety by distributing the load and reducing the pitch angle during rapid acceleration and braking. 6WS/6WD vehicles are favored for military use in off road operations because of their high maneuverability and mobility on extreme terrains and obstacles. 6WD vehicles that using in-wheel motor can generate the independent wheel torque without other mechanical parts. Conventional vehicles, however, cannot generate an opposite driving force at each side wheel. Using an independent steering and driving system, six-wheel vehicles can show better performance than conventional vehicles. Using of independent steering and driving system, the 6 wheel vehicle can improve a performance better than conventional vehicle. This vehicle enhances the maneuverability under low speed and the stability at high speed. This paper describes an independent 6WS/6WD vehicle, consists of three parts; Vehicle Model, Control Algorithm for 6WS/6WD and Simulation. First, vehicle model is application of TruckSim software for 6WS and 6WD. Second, control algorithm describes the optimum tire force distribution method in view of energy saving. Last is simulation and verification.

• 한국조명전기설비학회지:조명전기설비
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• 제7권4호
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• pp.42-50
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• 1993

본 연구에서는 자동동조 퍼지 PID 제어 앨고리즘을 사용하여 유도전동기 구동방법을 제안하였다. 퍼지제어에서는 수학적인 모델링이 없이 경험적인 정보를 이용하면 제어가 가능하며 퍼지룩업 테이블을 적절히 이용하면 실시간 제어도 가능한 것이 특징이라 볼 수 있다. 또한, 퍼지규칙을 몇 개의 영역으로 구획하여 시스템의 변화가 발생되고, 또 파라미터의 변화가 유도 전동기 구동 특성에 크게 영향을 주는 것을 감안, 본 시스템의 고성능, 고정도제어를 위하여 퍼지 앨고리즘을 적용하여 파라미터가 자동동조 기능을 갖는 유도전동기의 구동 시스템을 설계, 제작하였으며 그 특성을 기존의 PID 제어방식과 비교하였다.

• 한국ITS학회 논문지
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• 제10권2호
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• pp.42-54
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• 2011

교통사고는 인적요인, 도로 기하구조, 교통류, 환경적요인 등 복합적인 요인에 의해 발생하며, 그 중 운전자의 특성과 운전행태는 교통사고에 큰 영향을 미치고 있다. 특히 졸음운전 및 음주운전으로 인한 사행운전은 사고발생 확률이 높고, 사고 발생 시 심각도가 높다. 따라서 본 연구에서는 사행운전을 검지하는 알고리즘을 개발하고, 알고리즘을 통해 사행운전을 검지하여 운전자 및 후방차량에 경고정보를 제공하는 적용방안에 대한 방법론을 제시하였다. 본 연구에서는 사행운전을 위험도에 따라 1차로 사행운전과 2차로 사행운전으로 구분하여 정의하였으며, 사행운전 시 관찰되는 횡방향 각 속도 변화의 특성을 분석하였고, 통계적 분석을 통해 정상주행과 사행운전을 분류하기 위한 임계값과 1차로 사행운전과 2차로 사행운전을 분류하기 위한 임계값을 설정하였다. 설정된 임계값을 이용하여 사행운전 검지 및 위험운전 판단 알고리즘을 평가하였다. 평가결과 제안된 사행운전 검지 알고리즘은 현장적용 시 높은 신뢰도를 가지는 정보를 제공 가능한 것으로 분석되었다. 본 연구에서 제시한 방법론은 교통안전성 증진에 기여할 뿐만 아니라, 자이로센서와 무선통신이 가능한 장비만 있으면 적용 가능한 방법론으로 스마트폰에도 적용 가능할 것으로 판단되어 도래하는 유비쿼터스 교통서비스의 새로운 컨텐츠로 활용될 것으로 기대된다.

• Journal of the Optical Society of Korea
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• 제18권6호
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• pp.777-782
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• 2014

This paper proposes an RGB to RGBY color conversion algorithm for liquid crystal display (LCD) using RGW pixel structure with two-field (yellow and blue) sequential driving method. The proposed algorithm preserves the hue and saturation of the original color by maintaining the RGB ratio, and it increases the luminance. The performance of the proposed RGBY conversion algorithm is verified using the MATLAB simulation with 24 images of Kodak lossless true color image suite. The simulation results of average color difference CIEDE2000 (${\delta}E^*_{00}$) and scaling factor are 0.99 and 1.89, respectively. These results indicate that the average brightness is increased 1.89 times compared to LCD using conventional RGB pixel structure, without increasing the power consumption and degrading the image quality.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 D
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• pp.2504-2506
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• 2003

In this paper, we propose an algorithm for driving line-tracer robot, considered as a kind of AGV. At first, we introduce the architecture of the line-tracer robot implemented for the experiment, and explain the driving algorithm using path information from infrared sensors. The proposed algorithm can overcome the difference between each sensor's characteristics. Finally, we make some experiments and show the performance of the algorithm in case of straight path.