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Model Free Command Filtered Backstepping Control for Marine Power Systems

机译：舰船动力系统的免费模型滤波反推控制

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摘要

In order to retrain chaotic oscillation of marine power systems which are excited by periodic electromagnetism perturbation, two novel model free command-filtered backstepping control methods are designed in this paper. Firstly, the dynamic model of marine power system based on the two parallel nonlinear models is established. Secondly, extended state observer (ESO) and adaptive neural network observer (NNO) are designed to estimate the velocity signal and the unknown dynamic model. Moreover, the uniform form of ESO and NNO is given. Next, the model free command-filtered backstepping controller is put forward based on the uniform observer form. Finally, the simulation results indicate that the two proposed control algorithms can quickly retrain chaotic oscillation and their effectiveness and potential are amply demonstrated.
机译：为了抑制周期性电磁扰动激励的船舶动力系统的混沌振荡，设计了两种新型的无模型滤波的反滤波后推控制方法。首先，建立了基于两个并行非线性模型的船舶动力系统动力学模型。其次，设计了扩展状态观测器（ESO）和自适应神经网络观测器（NNO）来估计速度信号和未知的动力学模型。此外，给出了ESO和NNO的统一形式。接下来，基于统一的观察者形式，提出了无模型的命令过滤反推控制器。最后，仿真结果表明，所提出的两种控制算法都能快速地抑制混沌振荡，并充分证明了其有效性和潜力。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|619430.1-619430.8|共8页
  • 作者

    Zhou Hongcheng; Xu Dezhi; Jiang Bin;

  • 作者单位

    JinLing Inst Technol, Inst Informat, Nanjing 211169, Jiangsu, Peoples R China.;

    Jiangnan Univ, Key Lab Adv Proc Control Light Ind, Minist Educ, Inst Automat, Wuxi 214122, Peoples R China.;

    Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China.;

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