Position Control of IT-Robot manipulator using Multi–Loop FOPID

Authors

  • Reham H. Mohammed Department of Electrical Engineering, University of Suez Canal, Ismailia, Egypt

Keywords:

IT-Robot manipulator, SimMechanics, PID, Genetic Algorithm (GA) andFractional Order PID (FOPID) Controller.

Abstract

Position control of the manipulator has been noted for its difficulty as the result of the so-called dynamic stability problem, parameter uncertainty and dynamic coupling. This work focused on position control of the first four degree of freedom (DOF) of IT-Robot manipulator using Fractional Order PID (FOPID) controller that can conquer this difficulty. All procedure description to model of the manipulator and control has been detailed and simulated using MATLAB R2015a/Simulink; from the mechanical model generation in SimMechanic where, the manipulator joint is moved using DC motor. Parameters of FOPID controller are optimized using GA. The controller effectiveness is analyzed for set point tracking. By simulation results, it was observed that FOPID controller give better response with minimum error than PID controller for the position control of the IT-robot manipulator.

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Author Biography

Reham H. Mohammed, Department of Electrical Engineering, University of Suez Canal, Ismailia, Egypt

lecturer at Department of Electrical Engineering, University of Suez Canal, Ismailia, Egypt

References

L. W. Tsai, Robot Analysis: The Mechanics of Serial and Parallel Manipulators, New York: Wiley, (1999).

J.Y.S. Luh, Conventional controller design for Industrial robots-a tutorial, IEEE Trans. Systems Man Cybernet. 13 (1983) 298U 316.

P.K. Khosla, T. Kanade, Experimental evaluation of nonlinear feedback and feedforward control schemes for manipulator, Int. J. Robot. Res. 7 (1988) 18U˝ 28.

J.J.E. Slotine, W. Li, Adaptive manipulator control: a case study, IEEE Trans. Automat. Control 33 (1988) 995U˝ 1003.

J.J.E. Slotine, S.S. Sastry, Tracking control of nonlinear systems using sliding surface with application to robot manipulator, Int. J. Control 38 (1983) 465U˝ 492

Purwar, S., Kar I. N., Jha A. N.: Adaptive control of robot manipulators using fuzzy logic systems under actuator constraints. In Fuzzy Sets and Systems, volume 152, pages 651 U˝ 664, 2005

B.S. Chen, H.J. Uang, C.S. Tseng, Robust tracking enhancement of robot systems including motor dynamics: a fuzzy-based dynamic game approach, IEEE Trans. Fuzzy Systems 6 (1998) 538U˝ 552

T. pattaradej, G. Chen and P. Sooraksa, "Design and Implementation of Fuzzy PID Control of a bicycle robot", Integrated computer-aided engineering, Vol.9, No.4, 2002.

M. R. Faieghiand A. Nemati, "On Fractional-Order PID Design", Applications of MATLAB in Science and Engineering, ISBN: 978-953-307-708-6, InTech, 2011.

Z. Binguland O. Karahan," Fractional PID controllers tuned by evolutionary algorithms for robot trajectory control", Turk J ElecEng& Comp Sci, Vol.20, No.Sup.1, pp. 1123-1136, 2012.

I. Podlubny, Fractional-order systems and fractional-order controllers. Preprint No UEF-03-94 (Nov. 1994), Sloval Acad. Sci. - Institute of Experimental Physics, pp. 18.

http://www.terasoft.com.tw/english/htm/pd-itrobot1.html.

Denavit, J. A Kinematic Notation for Lower-pair Mechanisms Based on Matrices. Trans. of the ASME. Journal of Applied Mechanics, 1955, 22: 215-221.

JJ Crage. Introduction to Robotics Mechanics and Control, 3rd Edition, Prentice Hall. 2005.

Spong, Mark W., Seth Hutchinson, and Mathukumalli Vidyasagar. Robot modeling and control. Vol. 3. New York: Wiley, 2006.

D. Xue and Y. Chen, “A Comparative Introduction of Four Fractional Order Controllers,” in Proceedings of the 4th World Congress on Intelligent Control and Automation, pp. 3228–3235, 2002.

Banan, Khalil, Mohammad BB Sharifian, and Jafar Mohammadi. "Induction motor efficiency estimation using genetic algorithm." (2004).

Huang, K. S., et al. "Parameter identification of an induction machine using genetic algorithms." Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on. IEEE, 1999

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Published

2019-04-30

How to Cite

Mohammed, R. H. (2019). Position Control of IT-Robot manipulator using Multi–Loop FOPID. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 2(1), 59–64. Retrieved from https://ijeeas.utem.edu.my/ijeeas/article/view/4843

Issue

Vol. 2 No. 1 (2019): Electrical Engineering and Applied Sciences

Section

Articles

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