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Identification and tracing of oscillatory stability margin boundaries

机译:振荡稳定裕度边界的识别和追踪

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The aim of the paper is to present a framework that can quickly identify and estimate the oscillatory stability margin under various system operating conditions. First we present a brief review of various existing methods that are available for oscillatory stability assessment. The methods are basically divided into direct and indirect methods. In direct method, the oscillatory instability point is directly estimated from a given base case operating point. Whereas in indirect method the instability point is estimated in sequence of steps for any given scenario. The indirect methods can be further divided into eigenvalue based and manifold based. The manifold approach not only identifies but also can trace the margin boundary. The manifold based methodologies presented in this paper facilitate the analysis contributing to fast oscillatory stability margin monitoring and control. Only with solving tangent vector of a test matrix: a linear transformation of system total Jacobian matrix, the Hopf bifurcation is easily detected by observing the sign change of scalar index in the tangent vector. Once the instability point is detected, how this point changes with respect to various control configurations is further analyzed. Actually the instability point can be traced for various control configurations and scenarios. To achieve this objective, a unified formulation for oscillatory stability margin boundary tracing in multiparameter space is proposed. The bifurcation related margin boundary could be traced along any control scenario in multicontrol parameter space combined with any given loading scenario. The manifold method based identification and tracing is further improved by combining this approach with a new dominant eigenvalue tracing method. This approach is further extended to trace damping margin boundaries. The techniques presented in this papers can lead to on line monitoring of these boundaries.
机译:本文的目的是提出一个可以在各种系统工作条件下快速识别和估计振荡稳定性裕量的框架。首先,我们简要介绍一下可用于振荡稳定性评估的各种现有方法。这些方法基本上分为直接方法和间接方法。在直接方法中,根据给定的基本情况工作点直接估算振荡不稳定点。对于任何给定方案,间接方法都是按步骤顺序估算不稳定性点。间接方法可以进一步分为基于特征值和基于流形的方法。流形方法不仅可以识别边界边界,而且可以跟踪边界边界。本文介绍的基于流形的方法论有助于促进快速振荡稳定性裕度监测和控制的分析。只有求解测试矩阵的切向量:系统总Jacobian矩阵的线性变换,才能通过观察切向量中标量索引的正负号变化来轻松检测Hopf分支。一旦检测到不稳定点,就会进一步分析该点相对于各种控制配置的变化。实际上,可以针对各种控制配置和方案跟踪不稳定性点。为了达到这个目的,提出了多参数空间中的振荡稳定性裕量边界跟踪的统一公式。可以在多控制参数空间中的任何控制场景下结合任何给定的加载场景来跟踪与分叉相关的边界。通过将该方法与新的主导特征值跟踪方法相结合,进一步改进了基于流形方法的识别和跟踪。该方法进一步扩展为跟踪阻尼裕量边界。本文介绍的技术可以对这些边界进行在线监视。

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