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International Journal of Nonlinear Sciences and Numerical Simulation

Editor-in-Chief: Birnir, Björn

Editorial Board: Armbruster, Dieter / Chen, Xi / Bessaih, Hakima / Chou, Tom / Grauer, Rainer / Marzocchella, Antonio / Rangarajan, Govindan / Trivisa, Konstantina / Weikard, Rudi

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IMPACT FACTOR 2017: 1.162

CiteScore 2017: 1.41

SCImago Journal Rank (SJR) 2017: 0.382
Source Normalized Impact per Paper (SNIP) 2017: 0.636

Mathematical Citation Quotient (MCQ) 2017: 0.12

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2191-0294
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Volume 18, Issue 7-8

Issues

An Accelerated Algorithm for Improvement of Adaptation in Nonlinear Adaptive Control

M. Davanipour
  • Corresponding author
  • Department of Power and Control Eng., School of Electrical and Computer Eng., Shiraz University, Shiraz, Iran
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/ H. R. Javanmardi
  • Department of Power and Control Eng., School of Electrical and Computer Eng., Shiraz University, Shiraz, Iran
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/ N. Goodarzi
  • Department of Power and Control Eng., School of Electrical and Computer Eng., Shiraz University, Shiraz, Iran
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Published Online: 2017-10-27 | DOI: https://doi.org/10.1515/ijnsns-2016-0192

Abstract

Adaptive control is capable of handling systems with uncertain parameters in terms of asymptotic performance; however, it is not so well in the transient performance. Even though adaptation gain is part of adaptive controller having much effects on the transient response, it has been considered as a constant gain most of the times. In this paper, a new Laypunov-based mechanism is proposed to find optimal values of adaptation gains in nonlinear adaptive control design. The algorithm inspired of the halving method for finding polynomial roots tries to find optimum values of the adaptation gains in a direction of minimizing a cost function. The simulation results show satisfactory performance of the proposed controller especially in terms transient performance.

Keywords: nonlinear adaptive control; adaptation gain; transient performance; adaptive backstepping

References

  • [1]

    J. Gao and C. Liu, Nonlinear adaptive path following control of an autonomous surface vehicle: theory and experiments, Indian J. Mar. Sci. 44(11) (2015), 1669–1677.Google Scholar

  • [2]

    X. Chen, Y. Wang, Y. Zhang, J. Chen and C. Gong, Hybrid damping adaptive control scheme for grid connected inverters in a weak grid, IET Pow. Electr. 9(15) (2016), 2760–2768.CrossrefGoogle Scholar

  • [3]

    R. Dadkhah Tehrani and A. Khayatian, Adaptive friction compensation: modular design with passive identifier, Asian J. Cont. 18(16) (2016), 2100–2108.CrossrefGoogle Scholar

  • [4]

    R.C. Avram, X. Zhang, J. Muse and M. Clark, Nonlinear adaptive control design and controller integrity monitoring for quadrotor UAVs, International Conference on Unmanned Aircraft Systems, Arlington, (2016), 301–309.Google Scholar

  • [5]

    J. Chen, L. Jiang, W. Yao and Q.H. Wu, Perturbation estimation based nonlinear adaptive control of a full-rated converter wind turbine for fault ride-through capability enhancement, IEEE Power Syst. 29(6) (2014), 2733–2743.CrossrefWeb of ScienceGoogle Scholar

  • [6]

    M. Chen and G. Tao, Adaptive fault tolerant control of uncertain nonlinear large-scale systems with unknown dead zone, IEEE Trans. Cyber. 46(8) (2015), 1851–1862.Google Scholar

  • [7]

    P. Swarnkar, S. Jain and R.K. Nema, Effects of adaptation gain in model reference adaptive controlled second order system, Eng. Technol. Appl. Sci. Res. 1(3) (2011), 70–75.Google Scholar

  • [8]

    P. Swarnkar, S. Jain and R.K. Nema, Effect of adaptation gain on system performance for model reference adaptive control scheme using mit rule, International Conference of World Academy of Science, Engineering and Technology, Paris, France, 2010.Google Scholar

  • [9]

    M. Krstic, I. Kanellakopoulos and P. Kokotovic, Nonlinear and adaptive control design, John Wiley & Sons Publication, USA, 1995.Google Scholar

  • [10]

    D. Liberzon, Switching in systems and control, Springer, USA, 2003.Google Scholar

  • [11]

    X. Wang and J. Zhao, Logic based reset adaptation design for improving transient performance of nonlinear systems, IEEE/CAA J. Autom. Sinca. 2(4) (2015), 440–448.CrossrefGoogle Scholar

About the article

Received: 2016-12-27

Accepted: 2017-10-16

Published Online: 2017-10-27

Published in Print: 2017-12-20


Citation Information: International Journal of Nonlinear Sciences and Numerical Simulation, Volume 18, Issue 7-8, Pages 615–618, ISSN (Online) 2191-0294, ISSN (Print) 1565-1339, DOI: https://doi.org/10.1515/ijnsns-2016-0192.

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