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Robust Stability Analysis of Grid-Connected Converters Based on Parameter-Dependent Lyapunov Functions

机译:基于参数依赖Lyapunov函数的基于网格连接转换器的鲁棒稳定性分析

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This paper deals with the problem of robust stability analysis of grid-connected converters with LCL filters controlled through a digital signal processor and subject to uncertain grid inductance. To model the uncertain continuous-time plant and the digital control gain, a discretization procedure, described in terms of a Taylor series expansion, is employed to determine an accurate discrete-time model. Then, a linear matrix inequality-based condition is proposed to assess the robust stability of the polynomial discrete-time augmented system that includes the filter state variables, the states of resonant controllers and the delay from the digital control implementation. By means of a parameter-dependent Lyapunov function, the proposed strategy has as main advantage to provide theoretical certification of stability of the uncertain continuous-time closed-loop system, circumventing the main disadvantages of previous approaches that employ approximate discretized models, neglecting the errors. Numerical simulations illustrate the benefits of the discretization technique and experimental results validate the proposed approach.
机译:本文涉及通过数字信号处理器控制的LCL滤波器稳健稳定性分析的问题,并通过数字信号处理器控制并进行不确定的电网电感。为了模拟不确定的连续时间工厂和数字控制增益,采用泰勒序列扩展描述的离散化程序来确定准确的离散时间模型。然后,提出了一种基于线性矩阵的基于不等式的条件,以评估包括滤波器状态变量,谐振控制器的状态和数字控制实现的延迟的多项式离散时间增强系统的鲁棒稳定性。通过参数依赖的Lyapunov函数,该策略具有提供不确定连续闭环系统的稳定性的理论认证的主要优点,避免了采用近似离散化模型的先前方法的主要缺点,忽略了错误。数值模拟说明了离散化技术的好处和实验结果验证了所提出的方法。

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