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Two longitudinal fault tolerant control architectures for an autonomous vehicle

机译:自动驾驶汽车的两种纵向容错控制架构

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This paper presents two Fault Tolerant schemes for more reliable spacing control of an autonomous vehicle. The nonlinear longitudinal model of the vehicle is described by the Lipschitz representation. Based upon this representation, a state feedback integral controller is designed, as well as, fault estimation observers. This proposal work is focused on Lyapunov theory ensuring H-infinity criterion and L-2-gain norm in the development of the Linear Matrix Inequality constraints. The design also includes an estimation of vehicle states and an additive fault with the purpose of achieving highly robust and safe vehicle inter-distance control. To carry out this work, experiments are highlighted on prototype vehicle to validate the proposed FTC scheme in different autonomous driving scenarios. (C) 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
机译:本文提出了两种容错方案,用于更可靠地控制自动驾驶汽车的间距。 Lipschitz表示法描述了车辆的非线性纵向模型。基于该表示,设计了状态反馈积分控制器以及故障估计观测器。这项提议工作的重点是在线性矩阵不等式约束的发展过程中确保H-无穷大准则和L-2增益范数的Lyapunov理论。该设计还包括对车辆状态和附加故障的估计,目的是实现高度鲁棒和安全的车辆间距离控制。为了进行这项工作,在原型车上进行了重点实验,以验证在不同的自动驾驶场景下提出的FTC方案。 (C)2018国际模拟数学与计算机协会(IMACS)。由Elsevier B.V.发布。保留所有权利。

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