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Error modeling and sensitivity analysis of a parallel robot with SCARA(selective compliance assembly robot arm) motions

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Abstract

Parallel robots with SCARA(selective compliance assembly robot arm) motions are utilized widely in the field of high speed pick-and-place manipulation. Error modeling for these robots generally simplifies the parallelogram structures included by the robots as a link. As the established error model fails to reflect the error feature of the parallelogram structures, the effect of accuracy design and kinematic calibration based on the error model come to be undermined. An error modeling methodology is proposed to establish an error model of parallel robots with parallelogram structures. The error model can embody the geometric errors of all joints, including the joints of parallelogram structures. Thus it can contain more exhaustively the factors that reduce the accuracy of the robot. Based on the error model and some sensitivity indices defined in the sense of statistics, sensitivity analysis is carried out. Accordingly, some atlases are depicted to express each geometric error’s influence on the moving platform’s pose errors. From these atlases, the geometric errors that have greater impact on the accuracy of the moving platform are identified, and some sensitive areas where the pose errors of the moving platform are extremely sensitive to the geometric errors are also figured out. By taking into account the error factors which are generally neglected in all existing modeling methods, the proposed modeling method can thoroughly disclose the process of error transmission and enhance the efficacy of accuracy design and calibration.

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Correspondence to Fugui Xie.

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Supported by National Natural Science Foundation of China(Grant No. 51305222), and National Key Scientific and Technological Program of China(Grant No. 2013ZX04001-021)

CHEN Yuzhen, born in 1990, is currently a master candidate at State Key Laboratory of Tribology & Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, China. He received his bachelor degree from Dalian University of Technology, China, in 2012. His research interests include parallel manipulator kinematics and calibration.

XIE Fugui, born in 1982, is currently a postdoctoral fellow at State Key Laboratory of Tribology & Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, China. He received his PhD degree from Tsinghua University, China, in 2012, and received his bachelor degree from Tongji University, China, in 2005. His research interests include parallel mechanisms and hybrid machine tools.

LIU Xinjun, born in 1971, is currently a professor at State Key Laboratory of Tribology & Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, China. He received his PhD degree from Yanshan University, Qinhuangdao China, in 1999. His research interests include parallel mechanisms, parallel kinematic machines and advanced manufacturing equipments. He patented more than 40 inventions and published around 110 papers.

ZHOU Yanhua, born in 1973, is currently a PhD candidate at State Key Laboratory of Tribology & Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, China. She received her bachelor degree from Shandong University of Technology, China, in 1995. Her research interests include parallel mechanism and advanced manufacturing equipments.

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Chen, Y., Xie, F., Liu, X. et al. Error modeling and sensitivity analysis of a parallel robot with SCARA(selective compliance assembly robot arm) motions. Chin. J. Mech. Eng. 27, 693–702 (2014). https://doi.org/10.3901/CJME.2014.0423.082

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