• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.152-152
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• 2017

본 연구에서는 비례제어밸브를 이용한 자율주행 트랙터 조향 시스템 제어를 위하여 저가의 임베디드 시스템을 사용한 제어기를 개발하였다. 차륜의 조향각 측정을 위하여 전륜 킹핀에 포텐시오미터를 설치하였으며, 비례제어밸브는 -10 ~ +10V의 전압으로 밸브 스풀의 위치제어를 수행하도록 하였다. 조향각 측정과 비례제어밸브의 위치제어를 위하여 각각에 AT90CAN128 AVR보드를 사용하였으며, CAN통신으로 조향각 데이터가 비례제어밸브 제어용 데이터로 전송될 수 있도록 하였다. 비례제어밸브 제어 보드에는 DAC기능을 추가하였으며 0 ~ 5V의 출력을 -10 ~ +10V의 전압으로 변환해 주는 인터페이스회로를 추가하였다. 일반적으로 GPS 등의 데이터 수신율이 20 Hz인 점을 감안하여 비례제어 밸브는 50 ms의 주기로 P-제어를 수행할 수 있도록 하였다. 향후 트랙터의 방향각을 설정하는 또 하나의 시스템으로부터 목표 조향각을 부여받는 것을 가상하여 별도의 MCU를 통해 목표 조향각을 송신한 후, 조향 유압실린더에 의한 전륜의 조향각 시간 응답 특성을 조사하였다. 실험은 트랙터의 전륜을 지면으로부터 들어올린 무 부하 상태에서 진행하였으며, 목표 조향각은 $7.5^{\circ}$, $15.0^{\circ}$, $22.5^{\circ}$ 등 3단계로 변경하며 시간응답 특성을 측정하였다. 최대 오버슈트 11%, 최소 오버슈트 8.6%, 정상상태 오차 약 $0.825^{\circ}$, 시정수(Time Constant)는 3단계의 목표 조향각 설정에서 각각 0.706초, 0.488초, 0.38초로 나타났다.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.6
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• pp.584-593
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• 2012

This paper introduces an AVP (Automated Valet Parking) system which applies an autonomous driving concept into the current PAS (Parking Assistant System). The present commercial PAS technology is limited into vehicle. It means vehicle only senses and controls by and for itself to assist the parking. Therefore, the present PAS is restricted to simple parking events. But AVP includes wider parking events and planning because it uses infra-sensor network as well as vehicle sensor. For the realization of AVP, the commercial steering system of a compact vehicle was modified into steer-by-wire structure and various sensors like LRF (Long Range Finder) and camera were installed in a parking area. And local & global server decides where and when the vehicle can go and park in the testing area after recognized the status of environment and vehicle from those sensors. GPS solution was used to validate the AVP performance. More various parking situations, vehicles and obstacles will be considered in the next research stages based on these results. And we expect this AVP solution with more intelligent vehicles can be applied in a big parking lot like a market, an amusement park, etc.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.385-393
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• 2016

This paper presents the new position estimation method which contains the optical displacement sensor and the dead reckoning based position estimation algorithm for automation of hull cleaning robot. To evaluate feasibility of the proposed position estimation method on the hull cleaning robot, it was applied on the small scale robot model which has an identical drive method with the hull cleaning robot and then a set of the position estimation experiments were performed. The experimental results of the position estimation demonstrate that the estimated results with the optical displacement sensors is more accurate than used rotary encoder method. In addition, it continuously calculated the robot position quite close to the real robot driving path. In a follow-up study, the proposed position estimation method will be complemented and exploited on the actual hull cleaning robot by adding additional sensor modules that correct measurement errors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.865-871
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• 2011

Presently, the location and direction information are certainly needed for the autonomous vehicle of the ship. Among them, the direction information is a essential elements to automatic steering system. And the gyro-compass, the magnetic-compass and the GPS compass are the sensor indicating the direction. The gyro-compasses are mainly used in the large-sized ship of the GMDSS(Global Maritime Distress & Safety System). The precision and the reliability of the gyro-compasses are excellent but big volume and high price are disadvantage. The magnetic-compass has relatively fine precision and inexpensive price. However, the disadvantage is in the influence by the magnetism object including the steel structure of a ship, and etc. In the case of the GPS compass, the true north is indicated according to the change of the location information but in case of the minimum number of satellites or stopping of a ship or exercise in the error range, the exact direction cannot be obtained. In this paper, the performance of the GPS compass was improved by using the least-square curve fitting method for the mutual trade off of the angle sensor. The algorithm which improves the precision of an azimuth by applying the weighted value according to the size of covariance error was proposed with GPS-compass and magnetic compass. The characteristic and the performance of the proposed algorithm were analyzed and verified through experimentation. The applicability of the proposed algorithm was shown through the experimental result.