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喷涂机器人运动控制和视觉补偿 被引量:2

Motion Control and Visual Compensation of Spraying Robot
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摘要 针对斜交腕六自由度喷涂机器人技术要点进行了分析,对运动控制算法进行了深入研究。首先,通过D-H法对机械臂构建了关节坐标系;其次,对喷涂机器人进行了运动学建模,分别从正、逆运动学两个方面对其进行了详细的运动控制描述;再次,通过数值迭代法对喷涂机器人的逆运动学进行了求解,严格控制了算法的精度和速度,并通过MATLAB绘图工具对算法的正确性和快速性;最后提出了一种基于图像边缘轮廓特征的手段来实现视觉补偿,凭借对多目标的分块处理实现对于工件三维空间信息的定位,引导喷涂机器人的喷涂作业,确保了喷涂机器人工作过程的精准性和迅速性。 The key points of motion control of the six-DOF robot are analyzed, and the motion control algorithm is deeply studied. Secondly, the kinematics modeling of the spray robot is given, and the detailed motion control is described from the aspects of the forward and inverse kinematics. Secondly, the kinematics model of the spray robot is established. The spray robot’s inverse kinematics process is solved by numerical iterative method, and the algorithm’s accuracy and speed are strictly controlled. The correctness and fastness of the algorithm are obtained by the MATLAB drawing tool. At last, a method based on the edge contour feature is proposed. The method realizes the visual compensation, and realizes the positioning of the three-dimensional spatial information of the workpiece by the multi-target block processing, and guides the spraying operation of the spraying robot, thus ensuring the precision and promptness of the working process of the spraying robot.
作者 李永杰 臧琛 邱继红 LI Yong-jie;ZANG Chen;QIU Ji-hong(Wuhai Vocational and Technical College,Inner Mongolia Wuhai 016000,China;Inner Mongolia University of Technology,Inner Mongolia Hohhot 010051,China;Shenyang Institute of Automation Chinese Academy of Sciences,Liaoning Shenyang 110016,China)
出处 《机械设计与制造》 北大核心 2018年第12期257-261,共5页 Machinery Design & Manufacture
基金 国家自然科学基金项目(51175001) 内蒙古自治区自然科学资金项目(NJZC16540) 内蒙古自治区高等学校科学研究项目(2015B102)
关键词 六自由度 喷涂机器人 斜交手腕 运动学仿真 D-H法 视觉补偿 Six DOF Spraying Robot Skew Wrist Kinematics Simulation D-H Method Visual Compensation
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  • 1严勇杰,朱齐丹,蒋丞.基于OpenGL的机械臂控制系统仿真平台研究[J].计算机仿真,2006,23(8):252-257. 被引量:14
  • 2Jorge Angeles.机器人机械系统原理理论、方法和算法[M].宋伟刚,译.北京:机械工业出版社,2004.
  • 3Peter Findlay.Intelligent System for Automated Components Recognition and Handling[D]Johannesburg:Mechanical and Manufacturing Engineer ing Department,Rand Afrikaans University,2002.
  • 4Frew,E.W.Rock.S.Exploratory motion generation for monocular visionbased target localizationAerospace Conference Proceedings,2002 (7):3633-3643.
  • 5Baseski,E.Bodenhagen,LPugeault,N.Using 3 D contours and their relations for cognitive vision and robotics.Computer and Information Sciences,2009:409-414.
  • 6Marks,S.Windsor,J.Wunsche.B.Optimisation and comparison framework for monocular camera-based face tracking.Image and Vision Computing New Zealand,2009:243-248.
  • 7Ikeda,T.Murakami,T5ubsystem control based target tracking for twowheeled mobile maniDulator.Industrial Electronics,2009:2157-2162.
  • 8John J Craig.机器人学导论[M].北京:机械工业出版社,2006.
  • 9Carlos A. Jara,Francisco A. Candelas,Pablo Gil. An interactive tool for industrial robots simulation, Computer Vision and remote operation [J]. Robotics and Autonomous Systems,2011,59: 389-401.
  • 10Toz.M, Kucuk.S. Dynamics Simulation Toolbox for Industrial Robot Mani- pulators [ J ]. Computer Application in Engineering Education, 2010,18 (2): 319-330.

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