Safety Analysis of Automotive Control Systems Using Multi-Modal Port-Hamiltonian Systems

Siyuan Dai, X. Koutsoukos
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引用次数: 13

Abstract

Safety analysis is important when designing and developing cyber-physical systems (CPS). An autonomous vehicle can be described as a complex CPS where the physical dynamics of the vehicle interact with the control systems. The challenge is ensuring safety despite nonlinearities, hybrid dynamics, and disturbances as well as complex cyber-physical interactions. In this paper, we present an approach for the safety analysis of automotive control systems using multimodal port-Hamiltonian systems (PHS). The approach uses the Hamiltonian function to represent the energy of the safe and unsafe states and employs passivity to prove that trajectories that begin in safe regions cannot enter unsafe regions. We first apply the approach to the safety analysis of a longitudinal vehicle dynamics composed with an adaptive cruise control (ACC) system. We then extend the results to the safety analysis of a combined longitudinal and lateral vehicle dynamics composed with an ACC and lane keeping control (LKC) system. Simulation results are presented to demonstrate the approach.
基于多模态port - hamilton系统的汽车控制系统安全性分析
在设计和开发网络物理系统(CPS)时,安全分析非常重要。自动驾驶车辆可以被描述为一个复杂的CPS,其中车辆的物理动力学与控制系统相互作用。面临的挑战是在非线性、混合动力学、干扰以及复杂的网络物理相互作用的情况下确保安全。在本文中,我们提出了一种使用多模态端口-哈密顿系统(PHS)进行汽车控制系统安全性分析的方法。该方法使用哈密顿函数来表示安全和不安全状态的能量,并使用被动性来证明从安全区域开始的轨迹不能进入不安全区域。我们首先将该方法应用于由自适应巡航控制(ACC)系统组成的纵向车辆动力学的安全性分析。然后,我们将结果扩展到由ACC和车道保持控制(LKC)系统组成的组合纵向和横向车辆动力学的安全分析。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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