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Sensors 2018, 18(8), 2720; https://doi.org/10.3390/s18082720

Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors

1
Department of Electrical Engineering, Hanyang University, Seoul 04763, Korea
2
Chassis System Control Development Team, Hyundai Motor Company, 150 Hyundaiyeonguso-ro, Namyang-eup, Hwaseong-si 18280, Korea
3
Department of Electrical and Biomedical Engineering, Hanyang University, Seoul 04763, Korea
*
Author to whom correspondence should be addressed.
Received: 31 May 2018 / Revised: 12 August 2018 / Accepted: 15 August 2018 / Published: 18 August 2018
(This article belongs to the Special Issue Sensors for Fault Detection)

Abstract

Vehicle control systems such as ESC (electronic stability control), MDPS (motor-driven power steering), and ECS (electronically controlled suspension) improve vehicle stability, driver comfort, and safety. Vehicle control systems such as ACC (adaptive cruise control), LKA (lane-keeping assistance), and AEB (autonomous emergency braking) have also been actively studied in recent years as functions that assist drivers to a higher level. These DASs (driver assistance systems) are implemented using vehicle sensors that observe vehicle status and send signals to the ECU (electronic control unit). Therefore, the failure of each system sensor affects the function of the system, which not only causes discomfort to the driver but also increases the risk of accidents. In this paper, we propose a new method to detect and isolate faults in a vehicle control system. The proposed method calculates the constraints and residuals of 12 systems by applying the model-based fault diagnosis method to the sensor of the chassis system. To solve the inaccuracy in detecting and isolating sensor failure, we applied residual sensitivity to a threshold that determines whether faults occur. Moreover, we applied a sensitivity analysis to the parameters semi-correlation table to derive a fault isolation table. To validate the FDI (fault detection and isolation) algorithm developed in this study, fault signals were injected and verified in the HILS (hardware-in-the-loop simulation) environment using an RCP (rapid control prototyping) device. View Full-Text
Keywords: road vehicle; fault diagnosis; fault detection and isolation; sensitivity analysis; model-in-the-loop; hardware-in-the-loop road vehicle; fault diagnosis; fault detection and isolation; sensitivity analysis; model-in-the-loop; hardware-in-the-loop
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Na, W.; Park, C.; Lee, S.; Yu, S.; Lee, H. Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors. Sensors 2018, 18, 2720.

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