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Multivariable extremum-seeking by periodic switching functions with application to Raman optical amplifiers

机译:具有周期切换功能的多变量极值搜索及其在拉曼光放大器中的应用

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摘要

A periodic switching function based extremum-seeking sliding-mode control strategy is addressed for uncertain nonlinear systems. We generalize previous results to a more challenging multivariable scenario, where the diagonal dominance condition is relaxed and can now be understood as a triangular dominance condition, which is significantly less restrictive. As an essential advantage over earlier results in the literature, the complete global convergence proof (with respect to the closed-loop initial conditions) of the overall multi-input multi-output (MIMO) closed-loop system is provided, rather than local stability results. The practical application of the proposed multivariable controller is exemplified through the optimization problem of the output signal power spectrum of Raman optical amplifiers. From a practical point of view, the extremum-seeking scheme enables the automatic adjustment of the control pump power signals in the presence of plant uncertainties, guaranteeing a flat power spectrum of the downstream data signals. Using a multi-objective approach, we develop the optimization algorithm to achieve this goal by simultaneously minimizing the output ripple and the deviation from some desired power level. The convergence analysis and control design are carried out in the presence of uncertainties, and the algorithm performance is tested through numerical examples, where a particular optical communication system with 32 channels is considered. This numerical example uses model parameters acquired experimentally and a representative fiber model, such that the results are close to what is expected to find in a practical implementation.
机译:针对不确定的非线性系统,提出了一种基于周期切换函数的极值寻求滑模控制策略。我们将先前的结果推广到更具挑战性的多变量场景,在该场景中,对角优势条件被放宽,现在可以理解为三角形优势条件,其约束性明显降低。作为相对于文献中较早结果的一项重要优势,它提供了整个多输入多输出(MIMO)闭环系统的完整全局收敛证明(相对于闭环初始条件),而不是局部稳定性结果。提出的多变量控制器的实际应用通过拉曼光放大器的输出信号功率谱的优化问题来举例说明。从实际的角度来看,极值搜索方案可以在存在工厂不确定性的情况下自动调节控制泵的功率信号,从而确保下游数据信号的功率谱平坦。通过使用多目标方法,我们开发了优化算法,通过同时最小化输出纹波和与某些所需功率水平的偏差来实现此目标。在存在不确定性的情况下进行收敛性分析和控制设计,并通过数值示例测试算法性能,其中考虑了具有32个通道的特定光通信系统。此数值示例使用通过实验获得的模型参数和代表性的纤维模型,因此结果与实际实现中预期的结果接近。

著录项

  • 来源
    《Control Engineering Practice》 |2020年第3期|104278.1-104278.14|共14页
  • 作者

  • 作者单位

    Department of Electrical Engineering Federal University of Rio de Janeiro (COPPE/UFRJ) 21941-972 Rio de Janeiro Brazil;

    Department of Electronics and Telecommunication Engineering State University of Rio de Janeiro (DETEL/UERJ) 20550-900 Rio de Janeiro Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multivariable uncertain systems; Sliding-mode control; Extremum-seeking; Global convergence;

    机译:多变量不确定系统;滑模控制;寻求极端全球融合;

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