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基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统

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测绘机器人是实现测绘自动化的执行设备,测绘机器人的工作空间更为复杂,给机器人的跟踪控制工作带来较大挑战;为提高测绘机器人跟踪控制效果,设计了基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统;加设遥感信息采集器和GIS信息采集器,改装遥感GIS信息处理器以及滑模跟踪控制器,完成硬件系统的优化设计;考虑信息结构以及信息之间的逻辑关系,构建系统数据库,为遥感GIS信息提供充足的存储空间;根据测绘任务生成机器人滑模移动轨迹,作为机器人的控制目标;采集测绘机器人实时遥感与GIS信息,利用遥感GIS信息融合技术跟踪机器人实时位姿,比对位姿跟踪结果与生成的控制目标,计算滑模跟踪控制量,完成系统的测绘机器人滑模跟踪控制软件功能优化;系统测试结果表明:设计系统的控制误差平均值为1。9 m,抖振幅值为0。8 dB,具有较好的控制效果。
Sliding Mode Tracking Control System for Surveying Robot Based on Remote Sensing GIS Information Fusion
Surveying robots are execution devices for surveying automation,and the workspace of surveying robots is more com-plex,which brings significant challenges for the tracking and control of robots.To improve the tracking control effectiveness of sur-veying robots,a surveying robot sliding mode tracking control system based on the fusion of remote sensing and geographic informa-tion system(GIS)information is designed.The hardware system was optimized to add the remote sensing information collector and GIS information collector,and modify the remote sensing GIS information processor and sliding mode tracking controller.Considering the logical relationship between information structure and information,a system database was constructed to provide sufficient storage space for the remote sensing GIS information.Based on the surveying task,the sliding mode trajectory for robot movement was gen-erated as the control objective of the robot.The real-time remote sensing and GIS information of the surveying robot were collected,and the remote sensing GIS information fusion technology was used to track the real-time pose of the robot.By comparing the tracking results with the generated control objective,the sliding mode tracking control input was calculated to optimize the software functional-ity of the surveying robot sliding mode tracking control system.The test results show that the average control error of the system is 1.9 m,the tremor amplitude is 0.8 dB,and it has a good control effectiveness.

remote sensing GIS information fusionsurveying robotssliding formtracking controlmotion trail

周波、唐桂彬

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杨凌职业技术学院交通与测绘工程分院,陕西咸阳 712100

遥感GIS信息融合 测绘机器人 滑模 跟踪控制 移动轨迹

陕西省高等职业教育教学改革研究项目(2021)陕西省教育厅一般专项科研计划(2022)

21GY00622JK0626

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(6)
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