More than 6,000 power tiller accidents occurred in 2015, accounting for 50% of all agricultural machinery accidents. Despite this, educational institutions for farmers are only conducting theoretical education due to lack of training systems with guaranteed safety. This study developed an object motion tracking algorithm enabling trainees to control a power tiller driving simulator while wearing a HMD(head mounted display) in order to provide safe hands-on training equipment. A power tiller driving simulator was built using encoders, proximity sensors and displacement sensors to detect the locations of various operating devices such as steering clutch, and a computer model for this simulator was designed. Center coordinate synchronization of the driving simulator and the computer model was achieved with a tracker, and the motion of the power tiller driving simulator was tracked by computing position coordinates and rotation angles of the simulator. The maximum distance error was 23mm, and there was no difficulty maneuvering the driving simulator while wearing an HMD, even at maximum distance error. This motion tracking algorithm is expected to be applicable to the development of mixed reality based power tiller driving simulators for training, contributing to the reduction of power tiller accidents.

The purpose of this study is to design and control position and torque based on the steering controller of power tiller simulator developed by the National Institute of Agricultural Sciences. The tiller simulator selects sensors and motors to detect the motion of the mechanism required for steering, and controls the tiller's steering controller through the PID control method and the PWM control method which can control simultaneously the position and torque. Simulation tests are carried out under various conditions to verify the efficiency of the proposed controller. The power tiller training simulator can be used as a means to prevent agricultural machinery accidents caused by human factors. Through the simulator, the driver can experience a variety of tasks without any risk of collision, the results of his actions, and learn the cause and effect concepts, which can be used for safety education and accident experience.

마늘 총 재배면적은 우리나라 채소재배면적의 약 9%을 점유하고 있으며, 연간 수요량도 1,000~1,500톤 정도씩 늘어가는 추세이다. 또한 개인 소비량도 약 10kg 내외로 매년 증가추세이므로 농가에서는 중요한 소득 작물로 자리 잡고 있다. 본 연구는 경운기 부착형 마늘 자동 파종기 개발에 필요한 설계인자 구명을 위하여 파종 작업과정, 파종방법, 마늘 종구의 파종깊이와 파종자세에 따른 생육상태를 조사하였고 마늘의 크기와 무게를 측정하였다. 또한 마늘 인편을 자유 낙하시켰을 경우의 인편의 착지자세를 조사하였다. 또한 가장 핵심 부분인 마늘 배종 장치의 자동정렬장치 개발을 위해 Working Model 3D Program를 이용하여 설계요소를 파악하였다. 연구결과는 다음과 같다. 1. 마늘의 크기를 측정한 결과 평균 폭 3cm, 높이 3cm 길이 4cm로 나타났다. 2. 마늘의 무게는 평균 4g정도였다. 3. 마늘 파종 깊이는 3cm가 적정함을 알 수 있었다. 4. 마늘 배종장치는 마늘을 자유 낙하시키는 장치로 개발한다. 5. 마늘을 15cm의 일정한 간격으로 파종하기 위해서 종구는 약 0.75초마다 하나씩 파종기에서 배종되어야 한다. 6. 마늘 자동정렬장치의 설계인자는 원통의 지름(D) 4cm, 원통사이의 거리(d) 1cm, 회전수 36rpm, 원통의 경사각() 가 가장 적당한 것으로 나타났다.