黑龙江科学2024,Vol.15Issue(20) :7-11,17.

基于融合定位的林地机器人的设计

Design of Forest Robot Based on Integrated Positioning

刘金星 陈锐 洪蕴泽 郑钧文 赵圣家
黑龙江科学2024,Vol.15Issue(20) :7-11,17.

基于融合定位的林地机器人的设计

Design of Forest Robot Based on Integrated Positioning

刘金星 1陈锐 1洪蕴泽 1郑钧文 1赵圣家1
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作者信息

  • 1. 东北林业大学机电工程学院,哈尔滨 150040
  • 折叠

摘要

对林地机器人的结构进行分析和设计,选择履带式行进方式并进行爬坡分析.针对林地机器人户外作业时定位系统精度依靠单传感器存在累计误差和数据失真的问题提出一种基于GPS和IMU融合定位的林地机器人定位方法,通过GPS、IMU信息对林地机器人进行融合定位,分析基于GPS和IMU融合导航系统算法设计方法,对系统欧拉角方法出现奇异点时给出解决措施.惯导系统和GPS之间具有很好的互补性,通过最优估计卡尔曼滤波进行惯行和GPS融合导航可充分发挥两种系统的优势,互补劣势,并辅以双目摄像头对外界环境进行实时勘测.

Abstract

The study analyzes and designs the structure of the forest robot,selects the crawler-type traveling mode,and analyzes the climbing slope.Aiming at the problems of accumulated errors and data distortion caused by single sensor in the positioning system accuracy of forest robot during outdoor operation,the study proposes a forest robot positioning method based on GPS and IMU integrated positioning,conducts integrated positioning on the forest robot based on GPS and IMU information,and analyzes the algorithm design method of GPS and IMU integrated navigation system.The solution is provided when the singularity appears in Euler Angle method of system.There is a good complementarity between inertial navigation system and GPS.The integrated navigation of inertial navigation and GPS with the optimal estimation Kalman filter can give full play to the advantages and disadvantages of the two systems,and the binocular camera can be used to conduct real-time survey of the external environment.

关键词

林地机器人/融合定位/惯性导航/GPS卡尔曼滤波

Key words

Forest robot/Integrated positioning/Inertial navigation/GPS Kalman filter

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出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
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