3RD PASSIVE JOINT POSITION ANGLE VALIDATIONON 3R UNDER-ACTUATED ROBOT ARM
DOI:
https://doi.org/10.11113/jt.v76.5493Keywords:
Real-time, passive joint, under-actuated robotAbstract
Position angle analysis by learning algorithm on robotics is extremely important as a tool for predictive maintenance to detect faults and mechanical problems. This paper presents position angle analysis on passive joint using three rotations (3R) under-actuated robot manipulator. Experiment was conducted to predict the position angle which were applied to three joint; Active 1, Active 2 and Passive respectively. Experiment by SIMULINK software was carried out to validate the value of position angle obtained during real-time experiment. As a conclusion, the 3rd position angle of passive joint followed the position angle for Active 1 and Active 2.
References
Robert J. Schilling. Fundamental of Robotics, Analysis & Control. ISBN 0-13-344433-3. 1.
Yu, K.-H., Shito, Y., and Inooka, H. 1998. Position Control of an Under Actuated Manipulator Using Joint Friction. Int. J. Non-Linear Mech. 33(4): 607-614.
Berkemeier, M. D. and Fearing, R. S. 1999. Tracking Fast Inverted Trajectories of the Under Actuated Robot. IEEE Trans. Rob. Autom. 15(4): 740-750.
Spong, M. W. 1995. The Swing Up Control Problem for the Acrobat. IEEE Control Syst. Mag. 15(1): 49-55.
Hasan, A. T., Hamouda, A. M. S., Ismail, N., and Al-Assadi, H. M. A. A. 2006. An Adaptive Learning Algorithm to Solve the Inverse Kinematics Problem of A 6 D.O.F Serial Robot Manipulator. Journal of Advances in Engineering Software. 37(7): 432-438.
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