A Fault Diagnostics Algorithm for Differential Brake Control System

This paper presents a novel analytical redundancy technique for fault diagnostics of a differential brake control system. The proposed diagnostic algorithm builds upon an adaptive observer to generate residuals and identify faults. By judiciously utilizing the residual information, it is possible to detect faults at the component level rather than the system level. In addition, the adaptive observer is shown to effectively combat with the perennial nuisances of fault diagnostic algorithms, sensitivity to disturbance and false alarms. Hardware-in-the-loop simulation results show how reliably the proposed diagnostic algorithm detects faults in the differential brake control system, which is expected to play a crucial role in active vehicle safety.

本文提出了一种新型的分析冗余技术，用于差异制动控制系统的故障诊断。所提出的诊断算法建立在自适应观察者的基础上，以生成残差并识别故障。通过明智地利用残差信息，可以在组件级别而不是系统级别检测故障。此外，自适应观察者被证明可以有效地应对故障诊断算法的多年生滋扰，对干扰和错误警报的敏感性。硬件中的仿真结果表明，建议的诊断算法可靠地检测到差分制动控制系统中的故障，这预计在主动车辆安全性中起着至关重要的作用。