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(32)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Koyuncu B., Guzel M. (2007), Software development for the kinematic control of Lynx6 Robot Arm, World Academy of Science, Engineering and Technology, 252-257.
Kuo C, Wang S. (1991), Robust Position Control of Robotic Manipulator in Cartesian Coordinates, IEEE Transactions on Robotics and Automation, 7, 653-659.
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.
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.
Manseur R. (1996), A software package for computer-aided robotics education, Proceedings of 26th Annual Conference on Frontiers in Education, Salt Lake City, UT.
Mohan S., Bhanot S. (2007), Comparative Study of Some Adaptive Fuzzy Algorithms for Manipulator Control, International Journal of Computational Intelligence, 3(4), 303-311.
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.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.