Comparative Analysis For Kinematics Of 5-DOF Industrial Robotic Manipulator

Manjaree, Shiv; Nakra, Bahadur Chand; Agarwal, Vijyant

doi:10.1515/ama-2015-0037

Abstract

This paper gives the kinematic analysis of a 5-DOF industrial robotic manipulator while considering wrist in motion. Analytical solutions have been obtained for forward kinematics and inverse kinematics to accurately position the end-effector of robotic manipulator in three dimensional spaces. For the first time, a hybrid neuro-fuzzy intelligent technique with two different membership functions has been studied and their performances are comparatively evaluated with analytical solutions. An experiment has been performed for a desired trajectory. It is seen that the results for the intelligent technique are reasonably in agreement with experiment. Also, the results obtained highlight the importance of selection of a particular membership function for robotic manipulators of industrial use.

References

1. Aghajarian M., Kiani K. (2011), Inverse Kinematics Solution of PUMA 560 Robot Arm using ANFIS, 8th International Conference on Ubiquitous Robots and Ambient Intelligence, Songdo Conventia, Korea.10.1109/URAI.2011.6145885
Search in Google Scholar
2. Agarwal V., Mittal A.P., Nakra B.C. (2005), A Study of Fuzzy Logic Based Inverse Kinematics Solution, Proceedings of International Conference on Computer Applications in Electrical Engineering, IIT Roorkee, India.
Search in Google Scholar
3. Alavander S., Nigam M.J. (2008), Inverse Kinematics Solution of 3-DOF Planar Robot using ANFIS, International Journal of Computers, Communication and Control, 3,150-155.10.15837/ijccc.2008.3.2391
Search in Google Scholar
4. Azadivar F. (1987), The Effect of Joint Position Errors of Industrial Robots on Their Performance in Manufacturing Operations, IEEE Journal of Robotics and Automation, RA-3 (2), 109-114.10.1109/JRA.1987.1087082
Search in Google Scholar
5. Bachir O., Zoubir A. (2012), Adaptive Neuro-fuzzy Inference System based Control of PUMA 600 Robot Manipulator, International Journal of Electrical and Computer Engineering, 2 (1), 90-97.10.11591/ijece.v2i1.116
Search in Google Scholar
6. Bingul Z, Karahan O. 2011, A Fuzzy Logic Controller tuned with PSO for 2 DOF robot trajectory control, Expert Systems with Applications, 38, 1017-1031.
Search in Google Scholar
7. Chen C, Wu T, Peng C. 2010, Robust trajectories following control of a 2-link robot manipulator via coordinate transformation for manufacturing applications, Robotics and Computer-Integrated Manufacturing, 27, 569-580.
Search in Google Scholar
8. Conkur E. (2003), Path following algorithm for highly redundant manipulators, Robotics and Autonomous Systems, 45, 1-22.10.1016/S0921-8890(03)00083-6
Search in Google Scholar
9. Corke P.I. (2011), Robotics Toolbox for MATLAB (Release 9), http://petercorke.com/Robotics_Toolbox.html.
Search in Google Scholar
10. Denavit J, Hartenberg R.S. (1955), A kinematic notation for lower pair mechanisms based on matrices, ASME Journal of Applied Mechanics, 77, 215-221.10.1115/1.4011045
Search in Google Scholar
11. Efe M.O., Kaynak O. (2000), A comparative study of soft-computing methodologies in identification of robotic manipulators, Robotics and Autonomous Systems, Elsevier, 30, 221-230.10.1016/S0921-8890(99)00087-1
Search in Google Scholar
12. Elgazzar S. (1985), Efficient Kinematic Transformations for the PUMA 560 Robot, IEEE Journal of Robotics and Automation, RA-1 (3),142-151.10.1109/JRA.1985.1087013
Search in Google Scholar
13. Er M.J., Yap S.M., Yeaw C.W., Luo F.L. (1997), A Review of Neural-Fuzzy Controllers for Robotic Manipulators, Conference Record of the IEEE Industry Applications.
Search in Google Scholar
14. Gasparetto A, Zanotto V. (2007), A new method for smooth trajectory planning of robotic manipulators, Mechanism and Machine Theory, 42, 455-471.10.1016/j.mechmachtheory.2006.04.002
Search in Google Scholar
15. Homaifar A, Sayyarrodsari B, Hogans J. (1994), Fuzzy Controller for Robot Arm Trajectory, Information Sciences, 2, 69-83.10.1016/1069-0115(94)90012-4
Search in Google Scholar
16. Jang J.S.R. (1993), ANFIS: Adaptive Network based Fuzzy Inference System. IEEE Transactions on Systems, Man and Cybernetics, 665-685.10.1109/21.256541
Search in Google Scholar
17. Karlik B, Aydin S. (2000), An improved approach to the solution of inverse kinematics problems for robot manipulators, Engineering Applications of Artificial Intelligence, 13, 159-164.10.1016/S0952-1976(99)00050-0
Search in Google Scholar
18. Kim W.S., Tendick F., Stark L.W. (1987), Visual Enhancements in Pick-and-Place Tasks: Human Operators Controlling a Simulated Cylindrical Manipulator, IEEE Journal of Robotics and Automation, RA-3 (5), 418-425.10.1109/JRA.1987.1087127
Search in Google Scholar
19. Koyuncu B., Guzel M. (2007), Software development for the kinematic control of Lynx6 Robot Arm, World Academy of Science, Engineering and Technology, 252-257.
Search in Google Scholar
20. Kuo C, Wang S. (1991), Robust Position Control of Robotic Manipulator in Cartesian Coordinates, IEEE Transactions on Robotics and Automation, 7, 653-659.10.1109/70.97877
Search in Google Scholar
21. Manjaree S., Shah J., Nakra B.C. (2010), Studies on Kinematics of Robotic Systems Using Artificial Intelligence Techniques, M Tech Thesis, Maharishi Dayanand University, Rohtak.
Search in Google Scholar
22. Manjaree S. (2013), Inverse Kinematic Analysis of 3-degree-of-freedom Robotic Manipulator using three different methods, International Journal of Advances in Science and Technology, 6(3), 71-80.
Search in Google Scholar
23. Manjaree S., Agarwal V., Nakra B.C. (2013), Inverse Kinematics using Neuro-Fuzzy Intelligent Technique for Robotic Manipulator, International Journal of Advanced Computer Research, 3(4), 160-165.
Search in Google Scholar
24. Manseur R. (1996), A software package for computer-aided robotics education, Proceedings of 26th Annual Conference on Frontiers in Education, Salt Lake City, UT.
Search in Google Scholar
25. Mittal R.K., Nagrath I.J. (2003), Robotics and Control, Tata Mc Graw Hill Publishing Company Limited.
Search in Google Scholar
26. Mohan S., Bhanot S. (2007), Comparative Study of Some Adaptive Fuzzy Algorithms for Manipulator Control, International Journal of Computational Intelligence, 3(4), 303-311.10.1155/2007/75653
Search in Google Scholar
27. Niku S.B. (2009), Introduction to Robotics: Analysis, Systems, Applications, PHI Learning Private Limited, India.
Search in Google Scholar
28. Pravak Manual (2008), Model 1055, Pravak Cybernetics, New Delhi.
Search in Google Scholar
29. Saha S.K. (2008), Introduction to Robotics, Tata McGraw Hill Education Private Limited.
Search in Google Scholar
30. Shah J., Rattan S.S., Nakra B.C. (2013), End-Effector Position Analysis Using Forward Kinematics For 5 Dof Pravak Robot Arm, IAES International Journal of Robotics and Automation, 2(3), 112-116.10.11591/ijra.v2i3.2015
Search in Google Scholar
31. Tejomurtula S., Kak S. (1999), Inverse kinematics in robotics using neural networks, Information Sciences, Elsevier, 116 (2), 147-164.10.1016/S0020-0255(98)10098-1
Search in Google Scholar
32. Yahya S., Moghavvemi M, Haider A.F. Mohamed (2011), Geometrical approach of planar hyper-redundant manipulators: Inverse kinematics, trajectory planning and workspace, Simulation Modeling Practice and Theory, 19, 406-422.10.1016/j.simpat.2010.08.001
Search in Google Scholar

Comparative Analysis For Kinematics Of 5-DOF Industrial Robotic Manipulator

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