Multi-Fault Diagnosis Approach Based on Updated Interacting Multiple Model for Aviation Hydraulic Actuator

• Main Authors: Xiaozhe Sun, Xingjian Wang, Siru Lin
• Format: Article
• Language: English
• Published: MDPI AG 2020-08-01
• Series: Information
• Subjects: fault diagnosis; hydraulic actuator; parameter estimation; interacting multiple model; extended Kalman filter
• Online Access: https://www.mdpi.com/2078-2489/11/9/410

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.