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Hierarchical diagnosis for an overactuated autonomous vehicle

机译:过度驾驶自动驾驶汽车的分层诊断

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The paper presents a new strategy based on hierarchical diagnosis for an autonomous four-wheel steering four-wheel driving (4WS4WD) electrical vehicle. It is known that the lateral stability of the vehicle may be lost in specific faulty scenarios (due, for instance, to the front wheels steering mechanism faults, wheels blocking or drop of pressure). We propose a hierarchical diagnosis to ensure the stability of the vehicle when isolating precisely the component fault. When the vehicle lateral error exceeds a threshold, a dynamic reference generator for rear wheels steering actuator is activated in order to guarantee the vehicle's lateral stability. Simultaneously, an active diagnosis based on the rear wheels steering mathematical model is used to identify the tire-road interface, a vital information for detecting and isolating faults when using analytical redundancy based residuals. The strategy proposed is tested and validated on a realistic dynamic vehicle model simulated using CarSim and Matlab-Simulink softwares.
机译:本文提出了一种基于分层诊断的自动四轮转向四轮驱动(4WS4WD)电动汽车新策略。众所周知,在特定的故障情况下(例如由于前轮转向机构故障,车轮卡死或压力下降),车辆的侧向稳定性可能会丧失。我们提出了一种分级诊断,以在精确隔离组件故障时确保车辆的稳定性。当车辆横向误差超过阈值时,将激活用于后轮转向执行器的动态参考发生器,以确保车辆的横向稳定性。同时,基于后轮转向数学模型的主动诊断被用于识别轮胎-道路界面,这是使用基于分析冗余的残差时检测和隔离故障的重要信息。在使用CarSim和Matlab-Simulink软件模拟的逼真的动态车辆模型上测试并验证了提出的策略。

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