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Networked control of parallel DC/DC buck converters

机译:并行DC / DC降压转换器的网络控制

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Microgrids and Hybrid Electric Vehicles rely on parallel DC/DC converters for power generation. DC/DC converters are connected in parallel to share the same load. The control signals are distributed through wires. The wiring increases the complexity and reduces the reliability. The recent advances in shared wireless networks made them viable and cheap alternative to direct wiring. Distributing the control signals over shared networks reduces the complexity in the wiring and enhances the reliability. Transmitting control signals through shared network induces time delay and data loss which may destabilize the system. These imperfections make the system stochastic and in many cases these imperfection can be modeled using Markov chains. This paper presents the stabilization of parallel DC/DC converters over stochastic nondeterministic network represented by Markov chains.
机译:微电网和混合动力汽车依靠并行的DC / DC转换器来发电。 DC / DC转换器并联连接以共享相同的负载。控制信号通过电线分布。布线增加了复杂性并降低了可靠性。共享无线网络的最新进展使它们成为直接布线的可行且廉价的替代方案。通过共享网络分配控制信号可减少布线的复杂性并提高可靠性。通过共享网络发送控制信号会引起时间延迟和数据丢失,这可能会使系统不稳定。这些缺陷使系统成为随机的,并且在许多情况下,可以使用马尔可夫链对这些缺陷进行建模。本文提出了以Markov链为代表的随机不确定网络上并行DC / DC转换器的稳定性。

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