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Chaos synchronization control for stochastic nonlinear systems of interior PMSMs based on fixed-time stability theorem

Author

Listed:
  • Tan, Zilong
  • liu, Yang
  • Sun, Jiayue
  • Zhang, Huaguang
  • Xie, Xiangpeng

Abstract

This paper proposes an enhanced chaos synchronization control scheme of stochastic nonlinear systems for the permanent magnet synchronous motors(PMSMs) applications for dynamic operating mechanism under different working environment. Firstly, a novel fixed-time stochastic stability theorem and convergence for the stochastic nonlinear system is valid through formulating a novel Lyapunov function. Different from what has been achieved on the fixed-time stability, it’s not the usual range but it’s more precise for settling time which improving control performance effectually. Secondly, the chaos synchronization issue of driven-response PMSMs with stochastic noise is firstly investigated based on the proposed Lyapunov theorem synchronizing the complex dynamic systems considering practical significance. Finally, the fixed-time synchronization control scheme is developed via applying the adaptive algorithms, furthermore, through constructing a reasonable synchronization dynamic error system achieving stability in probability of fixed time. A simulation analysis is demonstrated to verify the availability of the proposed control strategy.

Suggested Citation

  • Tan, Zilong & liu, Yang & Sun, Jiayue & Zhang, Huaguang & Xie, Xiangpeng, 2022. "Chaos synchronization control for stochastic nonlinear systems of interior PMSMs based on fixed-time stability theorem," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    • Handle: RePEc:eee:apmaco:v:430:y:2022:i:c:s0096300322001990
    DOI: 10.1016/j.amc.2022.127115
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    Cited by:

    1. Luo, Runzi & Song, Zijun & Liu, Shuai, 2023. "Fixed-time observed synchronization of chaotic system with all state variables unavailable in some periods," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).

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