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Fuzzy Control for Robotic Arm


Affiliations
1 Sinhgad College of Engineering, Vadgoan, Pune, India
2 Department of E&TC, Sinhgad College of Engineering Vadgoan, Pune, India
     

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The enigma of solving nonlinearity is a current topic as it is involved in aerospace, vibration control, motor control, signal processing, robotic manipulators, etc. Here, we model a Robotic Arm as nonlinear control system. Robotic arm Design for unsure nonlinear systems can be a tough design to work on. Crucial active research is going on in this nonlinear control system area. The robotic Arm is a benchmark problem of nonlinear multivariable system with inherent instability. It is a highly nonlinear and open-loop unstable system.


Keywords

Fuzzy Control, Fuzzy Logic Controller (FLC), Nonlinear Control System, Robotic Arm.
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  • Z. Bingul and O. karahan, “A Fuzzy Logic Controller Tuned with PSO for 2 DOF Robot Trajectory Control,” Expert Systems with Applications, Vol. 38, No. 1, 2011, pp. 1017-1031. doi:10.1016/j.eswa.2010.07.131.
  • A. B. Sharkawy, M. M. Othman and A. M. A. Khalil, “A Robust Fuzzy Tracking Control Scheme for Robotic Ma-nipulators with Experimental Verification,” Intelligent Con- trol and Automation, Vol. 2, No. 2, 2011, pp. 100-111. doi:10.4236/ica.2011.22012
  • T. H. S. Li and Y. C. Huang, “MIMO Adaptive Fuzzy Terminal Sliding-Mode Controller for Robotic Manipulators,” Information Sciences, Vol. 180, No.doi:10.1016/j.ins.2010.08.09
  • IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS “Adaptive Fuzzy Control for Nonlinear Networked Control Systems”Chengwei Wu, Jianxing Liu, Xingjian Jing, Member, IEEE, Hongyi Li, and Ligang Wu, Senior Member, IEEE
  • L.-X. Wang, “Stable Adaptive Fuzzy Control of Nonlinear Systems,” IEEE Transactions on Fuzzy Systems, Vol. 1, No. 2, 1993, pp. 146-155.
  • “Design, Analysis and Implementation of a Robotic Arm- The Animator”American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN: 2320-0936 Volume-02, Issue-10, pp-298-307.
  • “The Application of fuzzy Logic method to control of Robots: A Review Study” ISSN 2278 – 0149 www.ijmerr.com Vol. 3, No. 2, April 2014© 2014 IJMERR.
  • Y. J. Huang* and T. C. Kuo** “ Adaptive Fuzzy Control Based on Fuzzy Neural Network for Uncertain Nonlinear Systems” Proceedings of the 17th World Congress The International Federation of Automatic Control Seoul, Korea, July 6-11, 2008
  • Mostafa Mirzadeh, Mohammad Haghighi, Saeed Khezri, Javad Mahmoodi, Hasan Karbasi “ Design Adaptive Fuzzy Inference Controller for Robot Arm” I.J. Information Technology and Computer Science, 2014, 09, 66-73 Published Online August 2014 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijitcs.2014.09.09

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  • Fuzzy Control for Robotic Arm

Abstract Views: 281  |  PDF Views: 1

Authors

Priyanka R. Gaikwad
Sinhgad College of Engineering, Vadgoan, Pune, India
M. N. Kakatkar
Department of E&TC, Sinhgad College of Engineering Vadgoan, Pune, India

Abstract


The enigma of solving nonlinearity is a current topic as it is involved in aerospace, vibration control, motor control, signal processing, robotic manipulators, etc. Here, we model a Robotic Arm as nonlinear control system. Robotic arm Design for unsure nonlinear systems can be a tough design to work on. Crucial active research is going on in this nonlinear control system area. The robotic Arm is a benchmark problem of nonlinear multivariable system with inherent instability. It is a highly nonlinear and open-loop unstable system.


Keywords


Fuzzy Control, Fuzzy Logic Controller (FLC), Nonlinear Control System, Robotic Arm.

References