Cover
Vol. 18 No. 2 (2018)

Published: September 30, 2018

Pages: 1-14

Original Article

Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator

Woorod A. Shutnan 1 Turki Y.Abdalla 2
1 Department of electrical engineering, University of Basrah, Iraq
2 Department of computer engineering, University of Basrah, Iraq
History
  • Received: June 30, 2018
  • Available Online: September 30, 2018
DOI

https://doi.org/10.33971/bjes.18.2.1

Abstract

This paper presents a novel control framework for robot manipulator path tracking based on the integration of artificial immune systems, fuzzy logic, and fractional-order PID control. The proposed Fuzzy-Immune Fractional-Order PID (FIFOPID) controller combines immune feedback mechanisms, fuzzy logic reasoning, and fractional-order control principles, with controller parameters optimized using the Clonal Selection Algorithm (CSA). The performance of the FIFOPID controller is evaluated and compared against a Fuzzy-Immune PID (FIPID) controller under identical conditions. Simulation results conducted in MATLAB 2014a with SIMULINK demonstrate that the optimal FIFOPID controller outperforms the FIPID controller in terms of path tracking accuracy and overall control performance, highlighting its potential as an effective approach for precise robotic manipulator control.

Keywords

References

  1. R.Sharma,P.Gaur, and A. P. Mittal " Performance evaluation of cuckoo search algorithm based FOPID controllers applied to a robotic manipulator with actuator2015 International Conference on Advances in Computer Engineering and Applications (ICACEA) IMS Engineering College, Ghaziabad, India, pp. 356- 362, (2015).
  2. Hsu-Chih Huang "Intelligent Motion Control for Four- Wheeled Holonomic Mobile Robots Using FPGA- Based Artificial Immune System Algorithm", Hindawi Publishing Corporation Advances in Mechanical Engineering, Vol. 2013, Article ID22589510,pp. 1- 11,(2013).
  3. J.Al-Enezi, "Artificial Immune System Based Committee Machine for Classification Application", Ph.D. thesis, Brunel University, (June 2012).
  4. D. Dasgupta, Z. Ji, and F. González, "Artificial Immune System (AIS) Research in the Last Five Years",, 2003 Congress on Evolutionary Computation, Canberra, ACT, Australia, (2003).
  5. L. Raheja, Sa.Kumar Singh, Na. Dhanda, and Si. Lavania, "Application of Artificial Immune System Approach to Develop an Algorithm for Optimization Multi Objective Problems", IEEE, 2014 International Conference on Contemporary Computing and Information (IC3I), Mysore, India, pp. 288-292, (2014).
  6. XI. Zuo, SHI Young LI, and XIAO-JUN BAN "An Immunity Based Optimization Algorithm for Tuning Neuro-Fuzzy Controller", IEEE Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi”, 2-5 November 2003, pp. 666-671, (2003).
  7. Lingli Yu, Zixing Cai, Zhongyang Jiang, and Qiang Hu, " An Advanced Fuzzy Immune PID-type Tracking Controller of a Nonholonomic Mobile Robot", Proceedings of the IEEE International Conference on Automation and Logistics August 18 - 21, 2007, Jinan, China, pp. 66-71, (2007).
  8. Da. C. Jeronymo, L. S. Coelho, and Y. C. C. Borges, "Clonal selection algorithm with oppositional approach applied to trajectory planning of a robotic manipulator", IEEE, 2010 Elevength Brazilian Symposium on Neural Networks (SBRN), Sao Paulo, Brazil, pp. 229-234, (2010).
  9. Sh. K. Tiwari, and Ga. Kaur, "Analysis of Fuzzy PID and Immune PID Controller for Three Tank Liquid Level Control", International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol.1, No.4, pp. 185-189, (2011).
  10. Ms. G. Singh, and Dr.S. Bansal, "Artificial Immune System Approach for Multi Objective Optimization", Computer Engineering and Intelligent Systems, Vol.4, No.13, pp. 84-90, (2013).
  11. B. Rochdi, "Design and application of fuzzy immune PID control based on genetic optimization", International Workshop on Advanced Control IWAC, pp. 10-14, (2014).
  12. S. Gherbi, and F. Bouchareb, "Optimal Tuning of a Fuzzy Immune PID Parameters to Control a Delayed System", International Journal of Electrical, Robotics, Electronics and Communications Engineering, Vol.8 No.6, pp. 874-878, (2014).
  13. T. He, Y. Zhang, F. Sun, and X. Shi, "Immune Optimization Based Multi-objective Six-DOF Trajectory Planning for Industrial Robot Manipulators", IEEE World Congress on Intelligent Control and Automation (WCICA), pp. 2945-2950, (2016).
  14. L. A. Talib, "Fuzzy Control of Constrained Robot Manipulator", M.S. D. thesis, University of Basrah, (2004).
  15. V. Kumar, K. P. S. Rana, J. Kumar, P. Mishra, and S. SNair, "A Robust Fractional Order Fuzzy22P + Fuzzy I + Fuzzy D Controller for Nonlinear and Uncertain System", Springer International Journal of Automation and Computing, pp. 474-488, (2017).
  16. R. M. Asl, E. Pourabdollah, and M. Salmani, "Optimal fractional order PID for a robotic manipulator using colliding bodies design Soft Comput, Springer Berlin Heidelberg, (2017). (2017).
  17. Ah. Dumlu, and K. Erenturk, "Trajectory Tracking Control for a 3-DOF Parallel Manipulator Using Fractional Order PI  D  Control", IEEE Transactions on Industrial Electronics, Vol.61, No.7, (2013).
  18. S. Z. S. Al-khayyt, "Comparison between Fuzzy Logic Based Controllers for Robot Manipulator Trajectory Tracking", The First National Conference for Engineering Sciences FNCES'12 / November 7-8, 2012, (2012).
  19. M. Ş. Ayas, Y. Danayiyen, and İ. H. Altaş, "Design of a Fuzzy Logic Controller for a 2-DOF Robot Manipulator", IEEE 2013 international Conference on Electronics, Computer and Computation (ICECCO), Ankara, Turkey, pp. 265-268, (2013).
  20. H. Bezinea, N. Derbelb, and A. M. Alimia, "Fuzzy control of robot manipulators: some issues on design and rule base size reduction", Elsevier Science Ltd, Engineering Application of Artificial Intelligence, Vol.15, No.5 pp. 401-416, (2002).
  21. S. B. Debnath, P. Ch. Shill, and K. Murase, "Particle Swarm Optimization Based Adaptive Strategy for Tuning of Fuzzy Logic Controller", International Journal of Artificial Intelligence & Applications (IJAIA), Vol.4, No.1, pp. 37-50, (2013).
  22. V. M. Peri, "Fuzzy Logic Controller for an Autonomous Mobile Robot", M.Sc. thesis, Jawaharlal22Nehru22Technological22University, (2002).
  23. R. P. Copeland and K. S. Rattan, "A Fuzzy Supervisor for PD Control of Unknown Systems", Proceedings of the 1994 IEEE International Symposium on Intelligent Control, 1994.
  24. H. Ying, "Fuzzy Control and Modeling Analytical Foundations and Applications", IEEE Press series on biomedical engineering, ISBN 0-7803-3497-3, IEEE Order No. PC5729, (1958).
  25. Srinivasan Alavandar, and M.J. Nigam, "Genetic Fuzzy Based Tracking Control of 3 DOF Robot arm", IEEE First International Conference on Emerging Trends in Engineering and Technology, pp. 547-552, (2008).
  26. A. F. Amer, E. A. Sallam and W. M. Elawady, "Fuzzy Pre-compensated Fuzzy Self-Tuning Fuzzy PID Controller of 3 DOF Planar Robot Manipulators", 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics Montréal, Canada, (2010).
  27. E. D. Ulker and S. Ulker, "Comparison Study for Clonal Selection Algorithm", International Journal of Computer Science & Information Technology (IJCSIT), Vol.4, No.4, pp. 107-118, (2012).