电动汽车的模糊逻辑控制:设计与分析概念

J. J. Makrygiorgou, A. Alexandridis
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引用次数: 5

摘要

电动汽车是由非线性模型描述的复杂机电系统,因此其控制设计和分析不是一项容易的任务。在本工作中,模糊逻辑控制器(flc)被使用并通过大量的仿真进行了检验。FLC方法的一个主要缺点是如何确保系统的稳定性,而本文的主要贡献是进行了基于非线性模型的分析来弥补这一差距。特别是,证明了对于整个电动汽车系统,输入到状态稳定性(ISS)属性对于任意外部输入,即汽车车轮上的外部机械扭矩和内部电池电压都是成立的。进一步证明了无论控制输入的构造方式如何,该系统都是ISS,其状态收敛于平衡态。这无疑提高了整体设计方法,因为它证明了FLCs应用在EV上,同时保证了系统的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic control of electric vehicles: Design and analysis concepts
Electric vehicles (EVs) are complex electromechanical systems described by nonlinear models and therefore their control design and analysis is not an easy task. In the present work, fuzzy logic controllers (FLCs) are used and examined via extensive simulations. A main weakness of the FLC approach is how to ensure system stability, and the main contribution of the paper is that a nonlinear model-based analysis is performed to cover this gap. Particularly, it is proven that for the entire EV system, the input-to-state stability (ISS) property holds true with respect to arbitrary external inputs, namely the external mechanical torque on the car wheels and the internal battery voltage. Furthermore, it is shown that the system is ISS and its states converge to the equilibrium regardless from the way the controlled-inputs are constructed. This decisively enhances the overall design approach since it is proven that FLCs applied on the EV, simultaneously guarantee system stability.
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