• 제목/요약/키워드: Platform for Upland

검색결과 4건 처리시간 0.022초

밭농업용 다목적 플랫폼의 견인동력 및 구동토크 예측을 위한 시뮬레이션 모델 개발 및 검증 (Development and Validation of Simulation Model for Traction Power and Driving Torque Prediction of Upland Multipurpose Platform)

  • 전현호;백승민;백승윤;홍이수;김택진;최용;김영근;이상희;김용주
    • 드라이브 ㆍ 컨트롤
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    • 제20권1호
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    • pp.16-26
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    • 2023
  • Although the upland field area of Korea is high as 44.8%, the platform optimized for the upland field is insufficient. It is necessary to develop an optimized platform for the upland field because the upland field environment is an irregular environment with many slopes. In addition, due to the characteristic of agricultural operations, the traction power and torque of the platform have to be sufficient. Therefore, in this study, a simulation model that can predict the traction power and driving torque of a crawler-type platform for the upland field was developed and validated using the specifications of the crawler platform. The simulation model was developed using Amesim (19.1, Siemens, Germany). The development of the model was conducted using the specifications of the platform. A measurement system was developed to validate the simulation model. The traction power data of the simulation model was validated with the traction force and vehicle speed. The driving torque data of the simulation model was validated with the torque of the sprocket on the crawler system. As a result of the analysis, the error between measurement and simulation results occurred within 10%, and it was determined that the traction power and driving torque prediction of the crawler platform using this model was possible.

밭 노지 환경 주행을 위한 모듈형 농업 로봇 플랫폼에 대한 연구 (A Study on Modular Agricultural Robotic Platform for Upland)

  • 조용준;우성용;송수환;홍형길;윤해룡;오장석;김준성;김동우;서갑호;김대희
    • 로봇학회논문지
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    • 제15권2호
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    • pp.124-130
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    • 2020
  • This paper designed modular agricultural robotic platform capable of a variety of agricultural tasks to address the problems caused by a decline in agricultural populations and an increase in average age. We propose a modular robotic platform that can perform many tasks required in field farming by replacing only work modules with common robotic platforms. This platform is capable of steering while driving on four wheels in an upland environment where farm work is performed, and an attitude control module is attached to each drive module to control the attitude of the platform. In addition, the width of the platform is designed to be variable in order to operate in various ridges according to the crop cultivation method. Finally, we evaluated five items: variable width, gradient, attitude control angle, step and road speed in order to carry out the farming industry while maintaining a stable posture.

노지 밭고랑 환경 적용을 위한 자율조향 플랫폼 개발 (Development of Autonomous Steering Platforms for Upland Furrow)

  • 조용준;윤해룡;홍형길;오장석;박희창;강민수;박관형;서갑호;김순덕;이영태
    • 한국기계가공학회지
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    • 제20권9호
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    • pp.70-75
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    • 2021
  • We developed a platform that was capable of autonomous steering in a furrow environment. It was developed to autonomously control steering by recognizing the furrow using a laser distance, three-axis tilt, and temperature sensor. The performance evaluation indicated that the autonomous steering success rate was 99.17%, and it was possible to climb up to 5° on the slope. The usage time was approximately 40 h, and the maximum speed was 6.7 km/h.

밭 농업용 무한궤도 기반 주행 플랫폼 개발 및 성능 분석 (Development and performance analysis of a crawler-based driving platform for upland farming)

  • 김택진;전현호;아윱;최장영;김용주
    • 드라이브 ㆍ 컨트롤
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    • 제20권4호
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    • pp.100-106
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    • 2023
  • We developed a crawler-based driving platform that can perform harvesting, transportation, pest control, and rotary operation by equipping it with various implements, and analyzed its performance. This single platform was developed to perform as pepper harvester, peanut harvester, and transporter with a 46-kW engine. A simulation model was developed to study the specifications of the platform, and the accuracy was also analyzed. The absolute percentage error ranged from 0.2 to 5.9%, which made it possible to predict the platform performance using simulation model. In T-test, both torque and speed on field and asphalt showed a significant difference (1%). Driving torque required differed depending on the nature of the field, and the speeds also changed based on soil load. The developed platform has the advantage of being equipped with a variety of working tools, expected to be used to harvest root crops in the future.