Evaluation of the power consumption of a high-speed parallel robot
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An inverse dynamic model of a high-speed parallel robot is established based on the virtual work principle. With this dynamic model, a new evaluation method is proposed to measure the power consumption of the robot during pick-and-place tasks. The power vector is extended in this method and used to represent the collinear velocity and acceleration of the moving platform. Afterward, several dynamic performance indices, which are homogenous and possess obvious physical meanings, are proposed. These indices can evaluate the power input and output transmissibility of the robot in a workspace. The distributions of the power input and output transmissibility of the high-speed parallel robot are derived with these indices and clearly illustrated in atlases. Furtherly, a low-power-consumption workspace is selected for the robot.
Keywordshigh-speed parallel robot dynamic model power consumption evaluation method power vector
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This work was supported by the National Natural Science Foundation of China (Grant No. 51425501), and Beijing Municipal Science and Technology Commission (Grant No. Z171100000817007). The second author wishes to acknowledge the support of the Alexander von Humboldt Foundation.
- 5.Asada H. Dynamic analysis and design of robot manipulators using inertia ellipsoids. In: Proceedings of the IEEE International Conference on Robotics and Automation. Atlanta: IEEE, 1984, 94–102Google Scholar
- 6.Yoshikawa T. Dynamic manipulability of robot manipulators. In: Proceedings of IEEE International Conference on Robotics and Automation. IEEE, 1985, 1033–1038Google Scholar
- 7.Yoshikawa T. Translational and rotational manipulability of robotic manipulators. In: Proceedings of International Conference on Industrial Electronics, Control and Instrumentation. Kobe: IEEE, 1991, 1170–1175Google Scholar
- 20.Yang J, Yu D, Wang J. Modular computational method for inverse dynamics of planar 3-DOF parallel manipulators. Journal of Tsinghua University (Science and Technology), 2004, 44(8): 1043–1046 (in Chinese)Google Scholar
- 23.Miller K, Clavel R. The Lagrange-based model of Delta-4 robot dynamics. Robotersysteme, 1992, 8(1): 49–54Google Scholar
- 24.Wang Q, Wang J, Liu X, et al. Dynamic modeling of a parallel manipulator with two translational degrees of freedom. Journal of Tsinghua University (Science and Technology), 2002, 42(11): 1469–1472 (in Chinese)Google Scholar
- 27.Kong M, Chen Z, Ji C, et al. Optimal point-to-point motion planning of flexible parallel manipulator with adaptive Gauss pseudo-spectral method. In: Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Besacon: IEEE, 2014, 852–858Google Scholar
- 28.Feng L, Zhang W, Gong Z, et al. Developments of Delta-like parallel manipulators—A review. Robot, 2014, 36(3): 375–384Google Scholar