Abstract
The aviation hydraulic actuator (HA) is a key component of the flight control system in an aircraft. It is necessary to consider the occurrence of multiple faults under harsh conditions during a flight. This study designs a multi-fault diagnosis method based on the updated interacting multiple model (UIMM). The correspondence between the failure modes and the key physical parameters of HA is found by analyzing the fault mode and mechanism. The key physical parameters of HA can be estimated by employing a series of extended Kalman filters (EKF) related to the different modes of HA. The models in UIMM are updated once the fault is determined. UIMM can reduce the number of fault models and avoid combinatorial explosion in the case of multiple faults. Simulation results indicate that the multi-fault diagnosis method based on UIMM is effective for multi-fault diagnosis of electro-hydraulic servo actuation system.
Highlights
The aviation hydraulic actuator (HA) is a key component of aircraft flight control system [1,2,3,4].It receives the command of the flight control system to drive the control surfaces to control the flight attitude and trajectory
An et al presented an application of an extended Kalman filter (EKF) to identify leakage fault in hydraulically powered actuators [16]
The updated interacting multiple model (UIMM) is composed of a series of extended Kalman filters (EKF) operating in parallel
Summary
The aviation hydraulic actuator (HA) is a key component of aircraft flight control system [1,2,3,4]. An et al presented an application of an extended Kalman filter (EKF) to identify leakage fault in hydraulically powered actuators [16] All these methods assume the occurrence of only a single fault at one time. Garimella et al presented the application of a nonlinear model based on the adaptive robust observer for multi-fault detection and the isolation of some common hydraulic system faults [18] This approach consists of three adaptive robust observers and a parameter estimator to monitor parameters of interest like the coefficient of bulk modulus and the coefficient of internal leakage, but is computationally costly. A multi-fault diagnosis method based on the updated interacting multiple model (UIMM) is designed for effective diagnosis of HA without increasing additional computational complexity.
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