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IMM-based sensor fault detection and identification for a drive-by-wire vehicle

机译:基于IMV的传感器故障检测和绕过线缆的识别

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With the development of the embedded application and driving assistance systems, it becomes relevant to develop parallel mechanisms in order to check and to diagnose these new systems. This is particularly true in the case of partially and fully autonomous vehicles. In this paper, we focus our researches on a subpart of this issue dedicated to the detection and the identification of sensor faults for a drive-by-wire road vehicle. An Interacting Multiple Model approach has been implemented, based on a non-linear vehicle dynamics observer, including tire-road force and actuator modeling. Experimental validation tests, relying on real vehicle signals, show a fast and robust fault identification.
机译:随着嵌入式应用程序和驾驶辅助系统的开发,它与开发并行机制相关,以便检查和诊断这些新系统。在部分和完全自主车辆的情况下尤其如此。在本文中,我们专注于致力于检测和识别逐线路车辆的传感器故障的本问题的子部分的研究。基于非线性车辆动力学观察者,包括轮胎道路力和致动器建模,已经实施了交互多模型方法。实验验证测试,依靠真正的车辆信号,显示出快速且坚固的故障识别。

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