Inverse dynamic analysis and position error evaluation of the heavy-duty industrial robot with elastic joints: an efficient approach based on Lie group
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Heavy-duty industrial robots have great advantages in the manufacturing industry. Considering the heavy process load and low stiffness of the robot, an accurate and efficient dynamic model plays an important role in the behavior analysis and performance improvement in the robot. This paper presents a novel methodology for the inverse dynamic analysis of the heavy-duty industrial robot with elastic joints. In particular, high-order kinematics and dynamics are concisely deduced using Lie group to deal with elastic joints for the robot inverse dynamic analysis. Meanwhile, position errors of the end-effector due to elastic joints are evaluated through the inverse dynamic analysis when the robot is in heavy-duty applications. Compared with previous approaches, the advantage of proposed method is that new formulas for inverse dynamic analysis are shown to be more concise and computationally efficient using Lie group. Moreover, the position error evaluation method considering dynamic forces is proved to be more accurate than the traditional method when the robot is in the high-speed application. Because of the high computational efficiency and accurate evaluation results, the proposed approach is applicable to trajectory optimization and position error compensation, especially for the robot in heavy-load and high-speed applications.
KeywordsInverse dynamic analysis Lie group Position errors Heavy-duty industrial robot Elastic joints
This work is supported by the Major State Basic Research Development Program of China (973 Program, Grant No. 2014CB046704) and National Science and Technology Support Plan (Grant No. 2014BAB13B01).
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Conflict of interest
The authors declare that they have no conflict of interest concerning the publication of this manuscript.
- 6.Backer, J.D.: Feedback Control of Robotic Friction Stir Welding. Ph.D. Thesis, University West (2014)Google Scholar
- 14.Colleoni, D., Miceli, G., Pasquarello, A.: Workpiece placement optimization for machining operations with a KUKA KR270-2 robot. In: IEEE International Conference on Robotics and Automation, pp. 6–10 (2013)Google Scholar
- 22.Nanos, K., Papadopoulos, E.G.: On the dynamics and control of flexible joint space manipulators. Cont. Eng. Pract. 45, 230–243 (2015))Google Scholar
- 23.Hopler, R., Thümmel, M.: Symbolic computation of the inverse dynamics of elastic joint robots. In: IEEE International Conference on Robotics and Automation, pp. 4314-4319 (2004Google Scholar
- 24.Buondonno, G., Luca, A.D.: A recursive Newton–Euler algorithm for robots with elastic joints and its application to control. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5526–5532 (2015)Google Scholar
- 28.Craig, J.: Introduction to Robotics: Mechanics and Control. Addison-Wesley, Reading (2005)Google Scholar
- 31.ADAMS Software, M.S.: http://www.mscsoftware.com/Products/CAE-Tools/Adams.aspx
- 32.Googol Technique, G.T.: http://www.googoltech.com