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Estimating the ultimate bound and positively invariant set for a synchronous motor and its application in chaos synchronization

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  • Zhang, Fuchen
  • Shu, Yonglu
  • Yang, Hongliang
  • Li, Xiaowu

Abstract

To estimate the ultimate bound and positively invariant set for a dynamic system is an important but quite challenging task in general. This paper has investigated the ultimate bound and positively invariant set of a permanent magnet synchronous motor system. We combine the Lyapunov stability theory with the comparison principle method. For this system, we derive a three-dimensional ellipsoidal ultimate bound and positively invariant set for all the positive values of its parameters σ, γ. In addition, the two-dimensional bound with respect to x−y are established. Then, it is the two-dimensional estimation about x−z. Finally, the result is applied to the study of completely chaos synchronization. Numerical simulations are presented to show the effectiveness of the proposed chaos synchronization scheme. At the same time, one numerical example illustrating a localization of a chaotic attractor is presented as well. Numerical simulation is consistent with the results of theoretical calculation.

Suggested Citation

  • Zhang, Fuchen & Shu, Yonglu & Yang, Hongliang & Li, Xiaowu, 2011. "Estimating the ultimate bound and positively invariant set for a synchronous motor and its application in chaos synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 137-144.
    • Handle: RePEc:eee:chsofr:v:44:y:2011:i:1:p:137-144
    DOI: 10.1016/j.chaos.2011.01.001
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    References listed on IDEAS

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    1. Shu, Yonglu & Xu, Hongxing & Zhao, Yunhong, 2009. "Estimating the ultimate bound and positively invariant set for a new chaotic system and its application in chaos synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 42(5), pages 2852-2857.
    2. Elabbasy, E.M. & Agiza, H.N. & El-Dessoky, M.M., 2005. "Global synchronization criterion and adaptive synchronization for new chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 23(4), pages 1299-1309.
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    5. Zhang, Qunjiao & Lu, Jun-an, 2008. "Chaos synchronization of a new chaotic system via nonlinear control," Chaos, Solitons & Fractals, Elsevier, vol. 37(1), pages 175-179.
    6. Li, Damei & Wu, Xiaoqun & Lu, Jun-an, 2009. "Estimating the ultimate bound and positively invariant set for the hyperchaotic Lorenz–Haken system," Chaos, Solitons & Fractals, Elsevier, vol. 39(3), pages 1290-1296.
    7. Yassen, M.T., 2005. "Controlling chaos and synchronization for new chaotic system using linear feedback control," Chaos, Solitons & Fractals, Elsevier, vol. 26(3), pages 913-920.
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    Cited by:

    1. Wang, Haijun & Dong, Guili, 2019. "New dynamics coined in a 4-D quadratic autonomous hyper-chaotic system," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 272-286.
    2. Kim, Seong-S. & Choi, Han Ho, 2014. "Adaptive synchronization method for chaotic permanent magnet synchronous motor," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 101(C), pages 31-42.
    3. Zhang, Fuchen & Shu, Yonglu, 2015. "Global dynamics for the simplified Lorenz system model," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 53-60.
    4. Li, Lijie & Feng, Yu & Liu, Yongjian, 2016. "Dynamics of the stochastic Lorenz-Haken system," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 670-678.
    5. Wang, Haijun & Li, Xianyi, 2018. "A note on “Hopf bifurcation analysis and ultimate bound estimation of a new 4-D quadratic autonomous hyper-chaotic system” in [Appl. Math. Comput. 291 (2016) 323–339] by Amin Zarei and Saeed Tavakoli," Applied Mathematics and Computation, Elsevier, vol. 329(C), pages 1-4.

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