Fault diagnosis for linear heterodirectional hyperbolic ODE-PDE systems using backstepping-based trajectory planning

TL;DR

This paper develops a systematic fault diagnosis method for complex linear heterodirectional hyperbolic ODE-PDE systems, utilizing backstepping-based trajectory planning to detect actuator, process, and sensor faults in finite time.

Contribution

It introduces a novel backstepping-based trajectory planning approach for fault detection in hyperbolic ODE-PDE systems, including finite-time detection and handling of bounded disturbances.

Findings

Fault detection in finite time demonstrated on a 4x4 hyperbolic system

Thresholds derived for secure fault diagnosis under bounded disturbances

Systematic trajectory planning approach successfully applied

Abstract

This paper is concerned with the fault diagnosis problem for general linear heterodirectional hyperbolic ODE-PDE systems. A systematic solution is presented for additive time-varying actuator, process and sensor faults in the presence of disturbances. The faults and disturbances are represented by the solutions of finite-dimensional signal models, which allow to take a large class of signals into account. For disturbances, that are only bounded, a threshold for secured fault diagnosis is derived. By applying integral transformations to the system an algebraic fault detection equation to detect faults in finite time is obtained. The corresponding integral kernels result from the realization of a finite-time transition between a non-equilibrium initial state and a vanishing final state of a hyperbolic ODE-PDE system. For this new challenging problem, a systematic trajectory planning approach is presented. In particular, this problem is facilitated by mapping the kernel equations into backstepping coordinates and tracing the solution of the transition problem back to a simple trajectory planning. The fault diagnosis for a $4\times 4$ heterodirectional hyperbolic system coupled with a second order ODE demonstrates the results of the paper.