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Kalman Filter based leak localization applied to pneumatic systems

机译:基于卡尔曼滤波器的泄漏定位应用于气动系统

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An approach for a leak detection and localization scheme is presented. With respect to developing methods for diagnosis in commercial vehicles, applicability of existing approaches for leak diagnosis in pipelines has been evaluated. A leakage localization strategy using an Extended Kalman Filter (EKF) in combination with the Method of Characteristics (MOC) is adapted to pneumatic systems and implemented in Matlab/Simulink. To deal with boundary limitations due to possible sections for leak localization along the pipe, a methodical extension based on the idea of virtual pipes is proposed and integrated into the overall method. Verifications, resulting from a simulation model as well as from measurements at a real test bench, are presented. The promising results are discussed and suggestions for possible steps of further development are given.
机译:提出了一种泄漏检测和定位方案的方法。 关于商用车辆诊断方法,评估了管道中现有泄漏诊断方法的适用性。 使用扩展卡尔曼滤波器(EKF)与特性方法(MOC)组合的泄漏定位策略适用于气动系统并在Matlab / Simulink中实现。 为了处理由于管道沿管道泄漏定位的可能部分而应对边界限制,提出了一种基于虚拟管道思想的方法扩展,并集成到整个方法中。 提出了由仿真模型以及真实测试台的测量产生的验证。 讨论了有希望的结果,并给出了对进一步发展的可能步骤的建议。

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