• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.62-65
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• 2004

An optimal robust controller design method for gun driving system is discussed in this paper. The parameters of the gun driving controller are tuned by using the LQR characteristics for the performance and robustness. Tuning method that optimize velocity error gives a significant improvement over the existing PID tuning methods. It is shown that the tuning result of real gun driving system which is regarded as rigidness model or stiffness model satisfy performance and robustness.

• 로봇학회논문지
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• 제5권2호
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• pp.110-119
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• 2010

This paper aims to add the autonomous driving capability to the inverted pendulum system which maintains the inverted pendulum upright stably. For the autonomous driving from the starting position to the goal position, the motion control algorithm is proposed based on the dynamics of the inverted pendulum robot. To derive the dynamic model of the inverted pendulum robot, a three dimensional robot coordinate is defined and the velocity jacobian is newly derived. With the analysis of the wheel rolling motion, the dynamics of inverted pendulum robot are derived and used for the motion control algorithm. To maintain the balance of the inverted pendulum, the autonomous driving strategy is derived step by step considering the acceleration, constant velocity and deceleration states simultaneously. The driving experiments of inverted pendulum robot are performed while maintaining the balance of the inverted pendulum. For reading the positions of the inverted pendulum and wheels, only the encoders are utilized to make the system cheap and reliable. Even though the derived dynamics works for the slanted surface, the experiments are carried out in the standardized flat ground using the inverted pendulum robot in this paper. The experimental data for the wheel rolling and inverted pendulum motions are demonstrated for the straight line motion from a start position to the goal position.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.475-478
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• 2004

In this paper, a magnet-type automatic pipe cutting machine that binds itself to the surface of the pipe using magnetic force and executes unmanned cutting process is proposed. During pipe cutting process when the machine moves around the pipe laid vertical to the gravitational field, the gravity acting on the pipe cutting machine widely varies as the position of the machine varies. That is, with same driving force from the driving motor the cutting machine moves faster when it climbs down the surface of the pipe and moves slower when it climbs up to the top of the pipe. To maintain a constant velocity of the pipe cutting machine and improve the cutting quality, the authors adopted a conventional PID controller with a feedforward effort designed based on the encoder measurement of the driving motor. It is, however, impossible for the encoder at the motor to measure the absolute position and consequently the absolute velocity of the cutting machine in the case where the slip between the surface of the pipe and wheel of the cutting machine is not negligible. As an attempt to obtain a better estimation of the absolution angular position/velocity of the machine the authors proposes the use of the MEMS-type accelerometer which can measure static acceleration as well as dynamic acceleration. The estimated angular velocity of the cutting machine using the MEMS-type accelerometer measurement is experimentally obtained and it indicates the significant slipping of the machine during the cutting process.

• 자동차안전학회지
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• 제10권1호
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• pp.38-44
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• 2018

This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

• 천문학회보
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• 제43권2호
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• pp.47.2-47.2
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• 2018

The umbral oscillations of velocity are commonly observed in the chromosphere of a sunspot. Their sources are considered to be either the external p-mode driving or the internal excitation by magnetoconvection. Even though the possibility of the p-mode driving has been often considered, the internal excitation has been rarely investigated. We report the observational evidence for the internal excitation obtained by analyzing velocity oscillations in the temperature minimum region of a sunspot umbra. The velocity oscillations in the temperature minimum region were determined from Fe I $5435{\AA}$ line data taken by the Fast Imaging Solar Spectrograph (FISS) of the 1.6 m Goode solar Telescope (GST) at the Big Bear Solar Observatory. As a result, we discovered 4 events of oscillations which appear to be internally excited. We analyze their characteristics and relation to photospheric features. Based on these results, we estimate the contribution of the internal excitation for umbral oscillations and discuss their importance.

• 대한교통학회지
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• 제35권6호
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• pp.545-556
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• 2017

운전자 작업부하를 평가하기 위해 다양한 평가지표가 개발되어 활용되고 있으나, 기존의 작업부하 평가지표의 경우 개별 운전자의 운전습관과 주행패턴을 충분히 반영하지 못하고 있다. 또한, 운전자마다 체감하는 작업부하량과 작업부하를 극복하는 능력은 개인차가 있다. 따라서, 본 연구를 통해 개별 운전자의 주행패턴을 반영한 새로운 작업부하 평가지표를 도출하였다. 개별 운전자의 주행패턴을 반영하기 위해 운전자 별 Steering Velocity 절대값의 평균을 임계값으로 설정하고 임계값을 초과하는 영역의 Steering Velocity 면적의 합을 계량화한 ESA (Erratic Steering Velocity Area)를 제시하였다. 본 연구에서는 주행 시뮬레이션 실험을 통해 자율주행차가 비자율차와 혼재되어 주행하는 군집주행 환경을 구축하여 비자율차의 운전자가 군집주행 환경에서 어떠한 영향을 받는지를 ESA를 활용하여 평가하였다. 주행 시뮬레이션 실험을 통해 군집유무에 따른 일반 비자율차 운전자의 반응행태자료를 추출하여 NASA-Task Load Index (NASA-TLX) 점수와 운전자 작업부하 평가지표간의 관계를 분석하였다. 그 결과, 차로변경 시나리오에서는 다양한 운전자 작업부하 평가지표 중 ESA가 NASA-TLX 점수와 상관관계가 가장 큰 것으로 나타나 ESA의 유용성을 확인하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집A
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• pp.505-510
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• 2000

Vehicle performances such as fuel consumption and catalyst-out emissions are affected by a driving pattern, which is defined as a driving cycle with the grade in this study. We developed an algorithm to recognize a current driving pattern by using a neural network. And this algorithm can be used in adapting the driving control strategy to the recognized driving pattern. First, we classified the general driving patterns into 6 representative driving patterns, which are composed of 3 urban driving patterns, 2 suburban driving patterns and 1 expressway driving pattern. A total of 24 parameters such as average cycle velocity, positive acceleration kinetic energy, relative duration spent at stop, average acceleration and average grade are chosen to characterize the driving patterns. Second, we used a neural network (especially the Hamming network) to decide which representative driving pattern is closest to the current driving pattern by comparing the inner products between them. And before calculating inner product, each element of the current and representative driving patterns is transformed into 1 and -1 array as to 4 levels. In the end, we simulated the driving pattern recognition algorithm in a temporary pattern composed of 6 representative driving patterns and, verified the reliable recognition performance.

• 한국융합학회논문지
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• 제9권8호
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• pp.179-184
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• 2018

자동차의 구동방식은 전륜구동, 후륜구동, 4륜구동의 방식이 있다. 구동방식에서 운전자가 원하는 방향으로 전환하는 것과 바퀴에 동력을 전달하여 구동하는 두 가지의 역할을 수행하는데 있어 가장 중요한 부품이 등속 조인트이다. 도로상에서 주행 시에는 노면의 상태에 따라서 동력을 전달하는 부품들에 충격이 가해질 수 있다. 본 연구에서는 각각 샤프트의 길이가 다른 3개의 등속 조인트 각 모델들은 CATIA로 모델링하였고 ANSYS를 이용하여 구조 및 피로해석을 수행하였다. 본 연구 결과로는 Model 2가 다른 모델 대비 뛰어난 내구성을 가짐을 알 수 있었다. 이러한 결과를 이용하여 충격에 대한 내구성을 가지는 등속 조인트 설계를 할 때에 유용한 자료가 될 것이라고 사료되며, 등속 조인트의 디자인을 융합기술에 접목하여 미적 감각을 나타낼 수 있다.

• 한국산학기술학회논문지
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• 제16권6호
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• pp.3708-3713
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• 2015

본 연구의 목적은 연료전지 자동차의 스택 시스템의 열적 특성을 파악하기 위하여 상용 수치 해석 프로그램을 이용하여 열전달 성능을 해석적으로 고찰하였다. 이를 위하여 연료전지 자동차가 일반도로 및 등판도로 등 주행 특성에 따른 스택 열관리 시스템의 냉각 특성과 에어컨의 작동 여부 등 운전 특성에 따른 스택 열관리 시스템의 냉각 특성을 고찰하였다. 스택 라디에이터로 유입되는 공기 유속이 증가함에 따라 모든 냉각수 유량조건에서 열전달 성능은 향상되었다. 공기 유속이 2 m/s에서 10 m/s로 증가함에 따라 스택 라디에이터의 열전달 성능은 냉각수 유량 20 l/min에서 105.3% 증가하였고, 냉각수 유량 120 l/min에서 221.3% 증가하였다. 스택 라디에이터는 가혹조건인 등판 각도 8% 및 속도 50 km/h에서 냉각수 입구 온도차 $9.45^{\circ}C$로 일반조건인 등판 각도 0% 및 속도 120 km/h에서 냉각수 입구 온도차인 $5.1^{\circ}C$보다 85.3% 증가했다. 또한, 연료전지 자동차가 가혹조건인 등판 주행시 에어컨 시스템을 작동할 경우 스택의 안정적 작동을 허용하는 한계 온도인 $70^{\circ}C$를 초과할 수 있다.

• 로봇학회논문지
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• 제17권2호
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• pp.198-208
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• 2022

In this paper, an autonomous driving system is implemented for the Segye AI Robot Race Competition that multiple vehicles drive simultaneously. By utilizing the ERP42-racing platform, RTK-GPS, and LiDAR sensors provided in the competition, we propose an autonomous driving system that can drive safely and quickly in a road environment with multiple vehicles. This system consists of a recognition, judgement, and control parts. In the recognition stage, vehicle localization and obstacle detection through waypoint-based LiDAR ROI were performed. In the judgement stage, target velocity setting and obstacle avoidance judgement are determined in consideration of the straight/curved section and the distance between the vehicle and the neighboring vehicle. In the control stage, adaptive cruise longitudinal velocity control based on safe distance and lateral velocity control based on pure-pursuit are performed. To overcome the limited experimental environment, simulation and partial actual experiments were conducted together to develop and verify the proposed algorithms. After that, we participated in the Segye AI Robot Race Competition and performed autonomous driving racing with verified algorithms.