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Design, analysis and modeling of an optimized fuzzy control algorithm for synchronous multiphase DC-DC converters in automotive applications

机译:汽车应用中同步多相DC-DC转换器的优化模糊控制算法的设计,分析和建模

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The design of synchronous multiphase DC-DC converters allows improvements of the characteristics of high power systems. The automotive industry forecast that future power demands inside a car will oscillate between 2.5 kW and 3.5kW, keeping a dual system of 42/14V batteries. In this paper, an optimized fuzzy control algorithm has been developed to control a synchronous multiphase converter of 1.6kW for dual voltage architecture in future vehicle applications. The proposed optimized fuzzy control algorithm is analyzed and simulated together with a non lineal model of the power stage, by means of Matlab and Simulink. This simulation platform also integrates tools for a future implementation of the controller embedded in a FPGA. The main contribution of this work is the implementation of an optimized fuzzy algorithm of control that can be used independently of the number of phases of the converter, making it suitable to be applied in a wide range of high power applications. This algorithm has been designed having in mind the goal of developing a real-time FPGA-based controller, so the complexity has been reduced to a minimum. Hybrid vehicles, aerospace and naval industry power systems can also benefit from the development of this algorithm.
机译:同步多相DC-DC转换器的设计可以改善高功率系统的特性。汽车行业预测,车内未来的动力需求将在2.5 kW至3.5 kW之间波动,并保持42 / 14V电池的双系统。在本文中,已开发出一种优化的模糊控制算法来控制1.6kW的同步多相转换器,以在未来的车辆应用中实现双电压架构。利用Matlab和Simulink对提出的优化模糊控制算法以及功率级的非线性模型进行了分析和仿真。该仿真平台还集成了一些工具,可用于将来实现嵌入在FPGA中的控制器。这项工作的主要贡献是实现了一种优化的模糊控制算法,该算法可以独立于转换器的相数使用,从而使其适合于广泛的大功率应用。设计该算法时考虑到了开发基于FPGA的实时控制器的目标,因此将复杂性降低到了最低。混合动力汽车,航空航天和海军工业动力系统也可以从该算法的开发中受益。

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