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Control-Oriented Modeling of Wireless Power Transfer Systems With Phase-Shift Control

机译:具有相移控制的无线电力传输系统的面向控制的建模

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This paper is concerned with control-oriented modeling of a class of wireless power transfer systems with a phase-shift-controlled inverter. Two methods are investigated: the analytical modeling method, which is based on physical laws, and the refined instrumental variable method, which is based on sampled data. It shows that the former provides physical insights into the system, and that the resulting models will be accurate if the true circuit component parameters are a priori known. Otherwise, the model accuracy may decline. By contrast, the latter provides a cheap solution for accurate modeling, based only on a set of sampled input-output data, and the resulting model can capture very well the dynamic behavior of the system within a defined operating range. In real applications, it is always hard to know the actual circuit component parameters, since they may drift from the nominal values, due to some reasons such as the aging of circuit components and the variation of coil placement, making the analyticalmodeling method not very accurate. Therefore, to preserve the virtues of both methods, it is suggested to use them as a combination, that is, using the analytical modeling method to determine the model structure while using the data-driven modeling method to estimate the model parameters. All results derived in this paper are verified by means of both numerical simulation and experimental validation.
机译:本文涉及具有相移控制逆变器的一类无线电力传输系统的面向控制的建模。研究了两种方法:基于物理定律的分析建模方法和基于采样数据的精细工具变量方法。它表明,前者提供了对系统的物理洞察力,并且,如果事先知道真实的电路组件参数,则所得模型将是准确的。否则,模型精度可能会下降。相比之下,后者仅基于一组采样的输入-输出数据为精确建模提供了一种廉价的解决方案,并且生成的模型可以很好地捕获系统在定义的工作范围内的动态行为。在实际应用中,总是很难知道实际的电路组件参数,因为由于某些原因(例如电路组件的老化和线圈位置的变化),它们可能会偏离标称值,从而使分析建模方法不太准确。因此,为了保留这两种方法的优点,建议将它们结合使用,即使用解析建模方法确定模型结构,同时使用数据驱动建模方法估计模型参数。本文得出的所有结果均通过数值模拟和实验验证进行了验证。

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