Robust 2-DOF FOPID Controller Design for Maglev System Using Jaya Algorithm

References

• H. Yaghoubi, “The most important Maglev applications,” J. Eng., Vol. 2013, pp. 1–19. 2013. doi: 10.1155/2013/537986
   Google Scholar
• F. J. Lin, L. T. Teng, and P.H. Shieh, “Intelligent sliding-mode control using RBFN for magnetic levitation system,” IEEE Trans. Ind. Electron., Vol. 54, no. 3, pp. 1752–62, 2007. doi: 10.1109/TIE.2007.894710
   Web of Science ®Google Scholar
• X. Wei and L. Guo, “Composite disturbance-observer-based control and H∞ Control for complex continuous models,” Int. J. Robust Nonlinear Control, Vol. 20, no. 1, pp. 106–118, 2010. doi: 10.1002/rnc.1425
   Web of Science ®Google Scholar
• D. Sain, S. K. Swain, and S. K. Mishra “TID and I-TD controller design for magnetic levitation system using genetic algorithm,” Perspect. Sci., Vol. 8, pp. 370–3, 2016. doi: 10.1016/j.pisc.2016.04.078
   Google Scholar
• V. Kachitvichyanukul, “Comparison of three evolutionary algorithms: GA, PSO, and DE,” Ind. Eng. Manage. Syst., Vol. 11, no. 3, pp. 215–23, 2012.
   Google Scholar
• J. S. Saini, M. Gopal, and A. P. Mittal, “Evolving optimal fuzzy logic controllers by genetic algorithms,” IETE J. Res., Vol. 50, no. 3, pp. 179–90, 2004. doi: 10.1080/03772063.2004.11665504
   Web of Science ®Google Scholar
• F. J. Lin, H.J. Shieh, L.T. Teng, and P.H. Shieh, “Hybrid controller with recurrent neural network for magnetic levitation system,” IEEE Trans. Magn., Vol. 41, no. 7, pp. 2260–69, 2005. doi: 10.1109/TMAG.2005.848320
   Web of Science ®Google Scholar
• M. Lia, P. Zhoua, Z. Zhaob, and J. Zhangb “Two-degree-of-freedom fractional order-PID controllers design for fractional order processes with dead-time,” ISA Trans., Vol. 61, pp. 147–154, 2016. doi: 10.1016/j.isatra.2015.12.007
   PubMed Web of Science ®Google Scholar
• M. Araki and H. Taguchi, “Two-degree-of-freedom PID controllers,” Int. J. Control Autom. Syst., Vol. 1, no. 4, pp. 401–11, 2003.
   Google Scholar
• A. S. Chopade et al., “Design and implementation of digital fractional order PID controller using optimal pole-zero approximation method for magnetic levitation system,” IEEE/CAA J. Autom. Sin., Vol. PP, no. 99, pp. 1–12, 2016.
   Google Scholar
• S. R. Desai and R. Prasad, “Novel technique of optimizing FOPID controller parameters using BBBC for higher order system,” IETE J. Res., Vol. 60, no. 3, pp. 211–7, 2014. doi: 10.1080/03772063.2014.890821
   Web of Science ®Google Scholar
• K. Bettou and A. Charef, “Control quality enhancement using fractional PIλDμ controller,” Int. J. Syst. Sci., Vol. 40, no. 8, pp. 875–88, 2009. doi: 10.1080/00207720902974546
   Web of Science ®Google Scholar
• D. E. Goldberg and J. H. Holland, “Genetic algorithms and machine learning,” Mach. Learn., Vol. 3, pp. 95–99, 1988. doi: 10.1023/A:1022602019183
   Google Scholar
• K. Premalatha and A. M. Natarajan, “Hybrid PSO and GA for global maximization,” Int. J. Open Problems Compt. Math., Vol. 2, no. 4, pp. 597–608, 2009.
   Google Scholar
• S. Alam, G. Dobbie, Y. S. Koh, P. Riddle, and S. Ur Rehman, “Research on particle swarm optimization based clustering: a systematic review of literature and techniques,” Swarm Evol. Comput., Vol. 17, pp. 1–13, 2014. doi: 10.1016/j.swevo.2014.02.001
   Web of Science ®Google Scholar
• A. Rajasekhar, R. K. Jatoth, and A. Abraham, “Design of intelligent PID/PIλDμ speed controller for chopper fed DC motor drive using opposition based artificial bee colony algorithm,” Eng. Appl. Artif. Intell., Vol. 29, pp. 13–32, 2014. doi: 10.1016/j.engappai.2013.12.009
   Web of Science ®Google Scholar
• Z. Bingul, and O. Karahan, “Fractional PID controllers tuned by evolutionary algorithms for robot trajectory control,” Turk. J. Electr. Eng. Comput. Sci., Vol. 20, no. suppl. 1, pp. 1123–36, 2012.
   Google Scholar
• D. Sain, S. K. Swain, and S. K. Mishra, “Real-time implementation of robust set-point weighted PID controller for magnetic levitation system,” Int. J. Electr. Eng. Inform., Vol. 9, no. 2, pp. 272–83, 2017.
   Google Scholar
• P. Anantachaisilp and Z. Lin, “Fractional order PID control of rotor suspension by active magnetic bearings,” Actuators, Vol. 6, no. 4, pp. 1–31, 2017.
   Web of Science ®Google Scholar
• S. K. Swain, S. Debdoot, M. S. Kumar, and S. Ghosh, “Real time implementation of fractional order PID controllers for a magnetic levitation plant,” AEU – Int. J. Electron. Commun., Vol. 78, pp. 141–56, 2017. doi: 10.1016/j.aeue.2017.05.029
   Web of Science ®Google Scholar
• R. V. Rao, “Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems,” Int. J. Ind. Eng. Comput., Vol. 7, pp. 19–34, 2016.
   Google Scholar
• A. Ghosh, T. Rakesh Krishnan, P. Tejaswy, A. Mandal, J. K. Pradhan, and S. Ranasingh, “Design and implementation of a 2-DOF PID compensation for magnetic levitation systems,” ISA Trans., Vol. 53, pp. 1216–1222, 2014. doi: 10.1016/j.isatra.2014.05.015
   PubMed Web of Science ®Google Scholar
• Magnetic Levitation: Control Experiments Feedback Instruments Limited, UK; 2011.
   Google Scholar
• I. Podlubny, L. Dorcak, and I. Kostial, “On fractional derivatives, fractional-order dynamic systems and PIλDμ,” Proc. 36th IEEE Conf. Decision Control, Vol. 5, pp. 4985–90, 1997. doi: 10.1109/CDC.1997.649841
   Google Scholar
• Y. Chen, and K. L. Moore, “Relay feedback tuning of robust PID controllers with iso-damping property,” IEEE Tran. Syst. Man Cybern. Part B (Cybernetics), Vol. 35, no. 1, pp. 23–31, 2005. doi: 10.1109/TSMCB.2004.837950
   PubMed Web of Science ®Google Scholar