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.

경운기 시뮬레이터 운전자가 가상환경에서 교육에 몰입할 수 있도록 현실세계에 가상 물체를 겹쳐 보 여주는 증강 현실 기술을 구현하였다. 3D 카메라 입력 장치로부터 초당 30 frame 이상 속도로 경운기 모의 운전 장치의 영상을 획득한다. 획득된 현실 영상을 크로마키 처리하여 가상 현실과 결합하였다. RGB 영상의 HSI 변환 실험결과 색상 최대값 0.52, 최소값 0.153, 채도 최대값 0.57, 최소값 0.16, 명 도 최대값 1, 최소값 0.12이 크로마키 처리를 위해 최적값이었다. 본 연구에서는 키패드를 이용하여 크 로마키 처리된 현실 영상의 위치를 전·후·상·하·좌·우를 버튼으로 조정하여 초기 결합위치를 조정 할 수 있고 최종 조정된 값은 저장하여 유지 관리되도록 하였다. 이를 토대로 초당 30프레임 이상의 속 도로 가상현실과 크로마키 처리 영상을 결합한 증강현실 구현이 가능함을 보였다.

This study was carried out to investigate of the performance for Sweet potato Harvester using Power-tiller. There was highly reduction in energy consumption using by Sweet potato Harvester of Power-tiller. A diesel engine with four cycle with single cylinder, water cooling and rated output 8.1 kW/2200 rpm was selected. The experimental factors for performance test, engine speed ranged from 1000 rpm to 2400 rpm, and BSFC, efficiency, traction power, and vibration were measured. The results obtained were as follows; engine output were increased from 4.4 kW to 5.74 kW at 1800 rpm and increased to 8.83 kW at 2400 rpm The specific fuel consumption was decreased to 320 g/kW.h at engine speed 2200 rpm and the traction power were showed 420~440 kgf.