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Fault Detection and Isolation via the Interacting Multiple Model Approach Applied to Drive-By-Wire Vehicles

机译:通过交互多模型方法进行的线控车辆故障检测和隔离

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摘要

The place of driving assistance systems is currently increasing drastically for road vehicles. Paving the road to the fully autonomous vehicle, the drive-by-wire technology could improve the potential of the vehicle control. The implementation of these new embedded systems is still limited, mainly for reliability reasons, thus requiring the development of diagnostic mechanisms. In this paper, we investigate the detection and the identification of sensor and actuator faults for a drive-by-wire road vehicle. An Interacting Multiple Model approach is proposed, based on a non-linear vehicle dynamics observer. The adequacy of different probabilistic observers is discussed. The results, based on experimental vehicle signals, show a fast and robust identification of sensor faults while the actuator faults are more challenging.
机译:当前,用于公路车辆的驾驶辅助系统的位置正在急剧增加。线控驾驶技术为全自动驾驶汽车铺平了道路,可以提高车辆控制的潜力。这些新的嵌入式系统的实现仍然受到限制,主要是出于可靠性方面的考虑,因此需要开发诊断机制。在本文中,我们研究了电驱动公路车辆的传感器和执行器故障的检测和识别。提出了一种基于非线性车辆动力学观测器的交互多模型方法。讨论了不同概率观察者的适当性。基于实验车辆信号的结果显示了传感器故障的快速,可靠识别,而执行器故障更具挑战性。

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