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Model-based automotive control design using port-Hamiltonian systems

机译:使用汉密尔顿港系统的基于模型的汽车控制设计

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摘要

Model-based design is an important tool for cyber-physical systems (CPS) that efficiently connects all development phases of control software and ensures desirable system performance. However, the increased complexity of CPS caused by interactions between components creates challenges for the implementation of model-based design. In this paper, we present a modeling framework for the model-based design toolchain which uses port-Hamiltonian systems (PHS) to model CPS components and interactions. In this framework, passivity-based control methods are used to design controllers and compose them through Dirac structures. We evaluate the modeling framework using an automotive control system and present simulation results to demonstrate the effectiveness of the framework.
机译:基于模型的设计是网络物理系统(CPS)的重要工具,可以有效地连接控制软件的所有开发阶段并确保理想的系统性能。但是,由组件之间的交互导致的CPS复杂性的增加给基于模型的设计的实现带来了挑战。在本文中,我们为基于模型的设计工具链提供了一个建模框架,该工具链使用哈密尔顿港系统(PHS)对CPS组件和交互进行建模。在此框架中,基于被动的控制方法用于设计控制器,并通过Dirac结构进行组合。我们使用汽车控制系统评估建模框架,并提供仿真结果以证明该框架的有效性。

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