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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 4, Pages 1,383-1,399, DOI: https://doi.org/10.21307/ijssis-2017-595
License : (CC BY-NC-ND 4.0)
Published Online: 13-November-2017
A method of compensation is proposed based on the error model with the robot’s parameters of kinematic structure and the joint angle. Using the robot kinematics equation depending on D-H algorithm, a kinematic error model is deduced relative to the end actuator of the robot, a comprehensive compensation method of kinematic parameters’ error by mapping structural parameters to the joint angular parameter is proposed. In order to solve the angular error problem in the compensation process of each joint, designs a set of robot’s kinematic parameter compensation experiment based on the joint angle’s correction. The experimental results verify the effectiveness of the presented method. Besides, puts forward that the main factor of the dynamic error is the deformation of the connecting rods. Software compensation way is analyzed in the paper.
Liu Zhenyu, Chen Yinglin, Qu Dao kui, et al. “Research on robot calibration”[J] . Robot , 2002, 24( 5) :447-450.
 Wang dong. “Research on industrial robot calibration technology” [D]. Shenyang: northeast university press, 2006.
 RenYongJie, Zhu, Yang Xueyou etc. “Robot calibration method using laser tracker” [J]. Journal of mechanical engineering, 2007, 43 (9):195-200.
 Cai Zixing. “Robotics”. Tsinghua university press. 2009.
 Xia Tian. “Industrial robot kinematics calibration and error analysis” [D]. Shanghai: Shanghai jiaotong university, 2009.
 Jiao Guotai, LiQing, etc. “Comprehensive compensation of robot’s pose error” [J]. Journal of north China, 2003, 24(2):104-107.
 Gong Xingru,ShenJianXin, etc. “Industrial robot’s positioning error model and its compensation algorithm” [J]. Journal of nanjing university of aeronautics and astronautics, 2012, 44(1):61-64.
 Ziegert J, Datseris p. “Basic Consideration for Robot Calibration” [C]. IEEE Inter national Conference on Robotics and Automation, Philadelphia, 1988, 932-938.
 Wang Yi, RenYongJie etc. “Compensation technology of measuring robot’s online dynamic temperature error” [J]. Journal of optoelectronic. Laser, 2009, 16 (4) : 492-494.
 Zhou Xuecai, Zheng Xuexiong. “The compensation algorithm of robot’s dynamic pose error in the work space.” Robots, 1989, 51(3):38-42
 Biqiang Du, Ning Xi, “Industrial Robot Calibration Using a Virtual Linear Constraint”, International Journal on Smart Sensing and Intelligent Systems,2012,5(4):987-1000.
 Wang Dongshu, Chi Jiannan, etc. “Genetic neural network and its application in robot error compensation” [J]. Journal of northeastern university (natural science edition), 2006, 27 (1):13-16.
 Zheng LI. “Neural Network Based Multisensor Fusion in a Novel Permanent Magnet Multi-DOF Actuator Orientation Detection System”. International Journal on Smart Sensing and Intelligent Systems,2012,5(4):911-926.