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Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance

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  • Guiyang Deng
  • Lianglun Cheng
  • Baojian Yang

Abstract

In this paper, an adaptive optimizing control is proposed for nonlinear synchronous generator system with uncertain disturbance. Considering the issue of uncertain item, a low-order Extended State Observer (ESO) is constructed to track each order states. Then, combining Backstepping technology and proposed ESO, a dynamic compensation control is designed to compensate the uncertainty disturbance in each state quantity. The proposed method demonstrated that stability of the system can be ensured, and tracking burden of ESO can be reduced. Finally, simulation results can show a good tracking performance and anti-interference ability by the proposed control method.

Suggested Citation

  • Guiyang Deng & Lianglun Cheng & Baojian Yang, 2019. "Adaptive Optimizing Control for Nonlinear Synchronous Generator System with Uncertain Disturbance," Complexity, Hindawi, vol. 2019, pages 1-6, October.
    • Handle: RePEc:hin:complx:7604320
    DOI: 10.1155/2019/7604320
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    References listed on IDEAS

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    1. Jianhui Wang & Wenli Chen & Zicong Chen & Yunchang Huang & Xing Huang & Wenqiang Wu & Biaotao He & Chunliang Zhang, 2019. "Neural Terminal Sliding-Mode Control for Uncertain Systems with Building Structure Vibration," Complexity, Hindawi, vol. 2019, pages 1-9, April.
    2. Xingjian Wang & Cun Shi & Shaoping Wang, 2017. "Extended state observer-based motion synchronisation control for hybrid actuation system of large civil aircraft," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(10), pages 2212-2222, July.
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