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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Adaptive Threshold Generation for Vehicle Fault Detection Using Switched T–S Interval Observers
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Adaptive Threshold Generation for Vehicle Fault Detection Using Switched T–S Interval Observers

机译：使用切换T-S间隔观察器的车辆故障检测的自适应阈值生成

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摘要

This paper is concerned with the robust passive fault detection problem for switched continuous-time linear parameter-varying systems with mensurable and unmeasurable scheduling parameters. A switched Takagi-Sugeno (TS) interval observer is designed to estimate the set of admissible state values. Using multiple fuzzy input to state stability-Lyapunov function and average dwell time (ADT) concept, sufficient conditions to guarantee the convergence and the robustness of the proposed observer are obtained. These conditions are formulated as a linear matrix inequality (LMI) problem. In contrast to the existing results based on multiple Lyapunov function and ADT switching, the derived conditions lead to less conservative LMIs characterization. Subsequently, the residual intervals are generated using the designed interval observer and used directly for fault detection (FD) decision making. Finally, the proposed methodology is tested using two examples. First, an academic example is used to illustrate the obtained relaxation. Second, a nonlinear vehicle model corrupted by faults is considered. Longitudinal velocity and cornering stiffness coefficients are treated, respectively, as the measurable and unmeasurable scheduling parameters. Simulation results based on experimental data show the effectiveness of the proposed FD schema.
机译：本文涉及具有可密定和不可衡量的调度参数的开关连续时间线性参数变化系统的强大被动故障检测问题。交换Takagi-Sugeno（TS）间隔观察器旨在估计可允许的状态值集。使用多个模糊输入到状态稳定性-Lyapunov功能和平均停留时间（ADT）概念，获得了保证提出观察者的收敛性的充分条件和鲁棒性。将这些条件制定为线性矩阵不等式（LMI）问题。与基于多个Lyapunov函数和ADT切换的现有结果相比，衍生条件导致保守的LMIs表征较少。随后，使用设计的间隔观察者生成残余间隔，并直接用于故障检测（FD）决策。最后，使用两个例子测试所提出的方法。首先，使用学术榜样来说明所获得的放松。其次，考虑故障损坏的非线性车辆模型。作为可测量和不可衡量的调度参数，分别处理纵向速度和转弯刚度系数。基于实验数据的仿真结果显示了所提出的FD模式的有效性。

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