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Trajectory Planning Based on Traceability of Spatial Pose Measurement Equipment |
WANG Xin-rui1,XUE Zi2,HUANG Yao2,ZHANG Fu-min1 |
1. Tianjin University, Tianjin 300072, China
2. National Institute of Metrology, Beijing 100029, China |
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Abstract Under the background of the research on traceability technology of pose measurement equipment, a standard path should be planned to reflect the difference of measurement under the same condition. And in order to design the standard path which has the economic rationality, high efficiency and high accuracy, the influences of different spatial trajectory curves on measuring equipment should be studied, such as laser tracker and visual measurement equipment. The industrial robot was took as the research object, the D-H parameter model of the robot was established, the structure and connecting rod parameters were analyzed, and kinematics equations were derived. The correctness of forward and reverse kinematics of the robot were verified using MATLAB robotics toolbox. The trajectory planning methods were analyzed and simulated in joint space and cartesian space on the basis of the industrial robot kinematics model, such as three times polynomial interpolation method and five times polynomial interpolation method. Through a series of simulations, it is concluded that the method of higher degree polynomial interpolation in joint space for standard trajectory planning can be used. The simulation images can also verify the smooth joint trajectory and ensure the speed and the continuity of the measurements. The analysis and simulations provided the theoretical foundation for the further study of trajectory on the influence of different measuring equipment and standard path planning.
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Received: 14 January 2019
Published: 10 October 2020
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[1]李黎, 尚俊云, 冯艳丽, 等. 关节型工业机器人轨迹规划研究综述[J]. 计算机工程与应用, 2018, 54(5): 36-50.
Li L, Shang J Y, Feng Y L, et al. Summary of Research on Trajectory Planning of Articulated Industrial Robot[J]. Computer Engineering and Applications, 2018, 54(5): 36-50.
[2]Chwa D, Kang J, Jin Y C. Online trajectory planning of robot arms for interception of fast maneuvering object under torque and velocity constraints[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2005, 35(6): 831-843.
[3]Saravanan R, Ramabalan S, Balamurugan C. Multi-objective trajectory planner for industrial robots with payload constraints[M]. Lodon: Cambridge University Press, 2008: 33-38.
[4]Xu X R, Wang X G, Qin F. Trajectory planning of robot manipulators by using spline function approach[C]//3rd World Congress on Intelligent Control and Automation. 2000: 1215-1219.
[5]国家质量监督检验检疫总局. GB/T 12642-2013 工业机器人性能规范及其试验方法[S]. 2013.
[6]任瑜, 张丰, 郭志敏, 等. 一种通用的工业机器人位姿检测方法[J]. 计量学报, 2018, 39(5): 615-621.
Ren Y, Zhang F, Guo Z M, et al. A general detection method of industrial robot posture[J]. Acta Metrologica Sinica, 2018, 39(5): 615-621.
[7]叶声华, 王一, 任永杰, 等. 基于激光跟踪仪的机器人运动学参数标定方法[J]. 天津大学学报, 2007, 40(2): 202-205.
Ye S H, Wang Y, Ren Y J, et al. A Calibration Method of Robot Kinematics Parameters Based on Laser Tracker[J]. Journal of Tianjin University, 2007,40(2): 202-205.
[8]Kucuk S, Bingul Z. Inverse kinematics solutions for industrial robot manipulators with offset wrists [J]. Applied Mathematical Modelling, 2014, 38(7-8):1983-1999.
[9]冯瑶, 公茂震. 6R机器人笛卡尔空间轨迹规划中的逆运动学[J]. 自动化技术与应用, 2018, 37(6): 68-73.
Feng Y, Gong M Z. Inverse kinematics of 6R robot Cartesian space trajectory planning[J]. Automation Technology and Application, 2018, 37(6): 68-73.
[10]Gasparetto A, Boscariol P, Lanzutti A, et al. Trajectory Planning in Robotics [J]. Mathematics in Computer Science, 2012, 6(3): 269-279.
[11]赵春芳, 李江昊, 张大伟. 基于改进免疫遗传优化蚁群算法的移动机器人路径寻优研究[J]. 计量学报, 2019, 40(3): 505-510.
Zhao C F, Li J H, Zhang D W. Research on path optimization of mobile robot based on improved immune genetic optimization ant colony algorithm[J]. Acta Metrologica Sinica, 2019, 40(3): 505-510.
[12]Tan G Z, Wang Y C, et al. Theoretical and experimental research on time-optimal trajectory planning and control of industrial robots[J]. Journal of Control Theory & Applications, 2003, 20(2):185-192.
[13]Kim J, Kim S. A practical approach for minimum-time trajectory planning for industrial robots[J]. Journal of Industrial Robot, 2010, 37(1): 51-61.
[14]韩军, 郝立. 机器人关节空间的轨迹规划及仿真[J]. 南京理工大学学报, 2000,24(6): 540-543.
Han J, Hao L. The Trajectory Planning and Simulation of Robot Joint Space[J]. Journal of Nanjing University of Science and Technology, 2000,24(6): 540-543.
[15]杜亮, 张铁. 工业机器人连续轨迹位置规划算法的研究[J]. 装备制造技术, 2006,(5): 29-31.
Du L, Zhang T. Study on the Algorithm of Continuous Trajectory Position Planning for Industrial Robots[J]. Equipment manufacturing technology,2006,(5):29-31.
[16]左富勇, 胡小平, 谢珂, 等. 基于MATLAB Robotics工具箱的SCARA机器人轨迹规划与仿真[J]. 湖南科技大学学报(自然科学版), 2012, 27(2): 41-44.
Zuo F Y, Hu X P, Xie K, et al. Strategy Planning and Simulation of SCARA Robot Based on MATLAB Robotics Toolbox[J]. Journal of Hunan University of Science and Technology(Natural Science), 2012, 27(2): 41-44. |
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