Fault diagnosis for nonlinear aircraft based on control-induced redundancy

Abstract

Abstract-A Fault Detection and Isolation (FDI) method for a generic 3D aircraft is presented. The behavior of the aircraft is described by a nonlinear control-affine model, which is closed-loop controlled by a classical guidance, navigation and control (GNC) algorithm. The proposed FDI procedure exploits the redundancy induced by this control module, along with the accelerations measured by the Inertial Measurement Unit (IMU). Estimates of first-order derivatives of some state variables are thus readily available and allow one to estimate the control inputs as achieved by the actuators. Since the computed control input sent to the actuator is known, it is possible to use the discrepancy between these two elements as a residual indicative of faults. This strategy is successfully applied to the proposed aeronautical benchmark to detect and isolate actuator faults affecting simultaneously flight control surfaces and propulsion.

Model-based fault diagnosis for aerospace systems: a survey

“…Considering the problem from the input side is an interesting and relevant change of viewpoint, since most fault diagnosis methods generate residuals by comparing estimated outputs with their measured values. In this context, the fact that most aerospace vehicles are equipped with an IMU (Table 1) makes it possible to use the force equation as a static relation to reconstruct control inputs that have been achieved by actuators [135,136]. Residuals can then be generated by comparing these reconstructed inputs with the values that have been sent by the control algorithm to the system, without the need to integrate a dynamical model.…”

Research on Bridge Sensor Validation Based on Correlation in Cluster

“…By analyzing the diversity of the redundant information, the sensor fault is identified [9]. This approach has been widely employed in the critical equipment such as aircraft [10]. Due to the limitation of budget and construction, the hardware redundancy approach is almost infeasible for infrastructures such as bridges and dams.…”

تشخیص خرابی بالک آیرودینامیکی یک وسیله ی مافوق‌صوت براساس داده‌های واحد اندازه‌گیری اینرسی

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