曲靖师范学院学报 ›› 2023, Vol. 42 ›› Issue (6): 45-52.

• 计算机科学研究 • 上一篇    下一篇

树障清理机器人的设计与实现

郑晓斌   

  1. 福建船政交通职业学院,福建 福州,350007
  • 收稿日期:2023-05-09 出版日期:2023-11-26 发布日期:2023-12-07
  • 作者简介:郑晓斌,福建船政交通职业学院副教授,主要从事智能电器控制、自动控制应用研究.
  • 基金资助:
    2020年福建省中青年教师教育科研项目“基于深度学习的人体姿态检测的关键技术研究”(JAT201062).

Design and Implementation of Robot for Tree-barrier Cleaning

ZHENG Xiaobin   

  1. Fujian Chuanzheng Communication College, Fuzhou Fujian 350007, China
  • Received:2023-05-09 Published:2023-11-26 Online:2023-12-07

摘要: 针对环境复杂的区域,高大树木、复杂地形等问题容易造成用电危险,而传统的人工清理树障的方法易造成安全事故,我国现有研发的机器人具有空中姿态控制不稳定以及数据传输不稳定等问题,对树障清理空中机器人进行了设计和实现.该机器人的结构组成主要包括多旋翼无人机、控制系统、远程监控系统、通信系统和刀具装置.通过确定地面坐标系和无人机坐标系的关系,建立空中机器人的动力学模型.充分考虑环境等因素对空中机器人传感器采集数据的影响,建立了传感器的数据融合算法,对传感器采集数据进行处理.采用PID(Proportion Integral Differential)控制方法对空中机器人的姿态控制器进行设计.为了验证该树障清理空中机器人的性能,对其进行了姿态控制试验和树障清理试验.试验结果表明机器人的姿态控制响应时间较短,最短可达1.2 s.在进行树障清理时,最大可清理树障直径约为4 cm,切割最长时间为3 s.

关键词: 树障清理空中机器人, 姿态控制系统, PID控制算法

Abstract: Tall trees and complex terrain in complex environmental regions may cause electricity danger, but traditional methods for manually clearing tree barriers easily involve safety accidents and the robots developed in our country have the problems of unstable air attitude control and data transmission. The aerial robot for clearing tree barriers is designed and implemented to solve the above problems. The structure of the robot mainly includes multi-rotor UAV, control system, remote monitoring system, communication system and tool device. The dynamics model of aerial robot is established by determining the relationship between ground coordinate system and UAV coordinate system. Considering the influence of environment and other factors on the data collected by aerial robot sensors, a sensor data fusion algorithm is established to process the data collected by sensors. The attitude controller of aerial robot is designed by using PID (Proportion Integral Differential) control method. The attitude control tests and tree-barrier cleaning tests are carried out to verify the performance of the tree-barrier clearing aerial robot. The test results show that the response time of the robot attitude control is short, with the shortest up to 1.2s. When cleaning the tree barrier, the maximum diameter of the tree barriers can be cleaned up to 4cm, and the maximum cutting time is 3s.

Key words: aerial robot for tree barrier clearing, attitude control system, PID control algorithm

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