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Tuning of Synchronous-Frame PI Current Controllers in Grid-Connected Converters Operating at a Low Sampling Rate by MIMO Root Locus

机译:MIMO根轨迹以低采样率运行的并网转换器中的同步帧PI电流控制器的调谐

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Current controller performance is key in grid-connected power converters for renewable energy applications. In this context, a challenging scenario is arising in multi-megawatt wind turbines, where sampling and switching frequencies tend to be lower and lower as power ratings increase. This strongly affects achievable control time constant. With this perspective, this paper presents a systematic procedure for accurate dynamics assessment and tuning of synchronous-frame proportional–integral current controllers, which is based on linear control for multiple-input–multiple-output (MIMO) systems. The dominant eigenvalues of the system are calculated with explicit consideration of time-delay and cross-coupling terms, two factors which clearly impair the system dynamics when considering a low sampling frequency. The proposed methodology is summarized as follows. First, the plant and controller matrices are modeled in state space. Subsequently, the characteristic polynomial of the closed-loop system is obtained and a computer-aided parametric analysis is performed to calculate the MIMO root locus as a function of the control gain. By its inspection, it is possible to identify the gain, which minimizes the current closed-loop time constant. This tuning is suitable for wind turbine applications, taking into consideration cascaded-control structures and grid-code requirements. The validity and accuracy of the analysis is fully supported by experimental verification.
机译:对于可再生能源应用,当前的控制器性能是并网电源转换器的关键。在这种情况下,具有挑战性的方案出现在兆瓦级风力涡轮机中,随着功率额定值的增加,采样和开关频率会越来越低。这强烈影响可达到的控制时间常数。从这个角度出发,本文提出了一种系统的过程,用于对同步帧比例-积分电流控制器进行精确的动力学评估和调整,该过程基于多输入多输出(MIMO)系统的线性控制。系统的主要特征值是在明确考虑时间延迟和交叉耦合项的情况下计算的,这两个因素在考虑低采样频率时会明显损害系统动力学。所提出的方法总结如下。首先,在状态空间中对工厂和控制器矩阵进行建模。随后,获得闭环系统的特征多项式,并执行计算机辅助参数分析,以计算MIMO根轨迹作为控制增益的函数。通过检查,可以确定增益,从而最大程度地减小当前的闭环时间常数。考虑到级联控制结构和电网规范要求,此调整适用于风力涡轮机应用。实验验证完全支持分析的有效性和准确性。

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