Design of Row Guidance Control System for Combine Corn Harvester
文献类型:会议论文
作者 | Gao FY(高飞扬)1,2; Wang Z(王卓)1![]() ![]() ![]() |
出版日期 | 2019 |
会议日期 | September 28-30, 2019 |
会议地点 | Dalian, China |
关键词 | Precision Agriculture Automatic Navigation System Row Guidance Road Test Platform |
页码 | 354-358 |
英文摘要 | Row guidance is an important aspect of precision agriculture. Navigation system based on Global Positioning System has been well developed, however Global Positioning System cannot provide enough information on crop row and sometimes suffers from disturbance from the environment. So it is necessary to develop local sensor that can detect crop row during harvesting tasks. This article aims to integrate a self-developed mechanical detection sensor into a row guidance control system. The mechanical row detection device based on angular sensor was used to detect crop row and return detected values as deviation for row guidance controller. The control method was introduced after linearizing the kinematic model of farm vehicle, then the road test platform was introduced. The test was conducted under three different speeds. We used Global Positioning System and inertial measuring unit to record the position and heading of the vehicle. For the road test, the average cross track error are below 0.1m, which meet the demand of navigation of combine corn harvester. |
源文献作者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 1 |
会议录 | 2019 2nd International Conference on Information Systems and Computer Aided Education, ICISCAE 2019
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-7281-3066-8 |
源URL | [http://ir.sia.cn/handle/173321/26866] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
通讯作者 | Gao FY(高飞扬) |
作者单位 | 1.Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.University of Chinese, Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Gao FY,Wang Z,Bai XP,et al. Design of Row Guidance Control System for Combine Corn Harvester[C]. 见:. Dalian, China. September 28-30, 2019. |
入库方式: OAI收割
来源:沈阳自动化研究所
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