Modeling and Fault Diagnosis of Aviation Hydraulic Servo Actuator

AbstractHydraulic servo actuator (HSA) is a key component to drive flight control surface and widely used in today’s civil aircraft. Owing to the cumulatively long working, HSA will inevitably be some failures and cause performance degradation and even loss of control, these are increasing the cost of maintenance. In order to reduce the impact of this effect, this paper pay attention to the fault diagnosis technology, to find an effective and reasonable theoretical diagnosis method and finally support for the safe-critical design of flight control actuation system. The aviation jet pipe type valve-controlled hydraulic servo actuator is under study. A simplified mathematical model is firstly established. Then, an advanced HSA model is developed in the multidisciplinary simulation platform of AMESim, the simulated faults are injected in the functional model and simulation data are carried out. After that, the faults data are obtained from the sensors and fifteen fault features are extracted according to mathematical theory. Finally, the back propagation (BP) neural network is used for data training and test, the proposed method can well realize the fault diagnosis function of HSA. It can provide accurate reference for fault judgment of aeronautical actuator system and reduce fault maintenance cost.KeywordsHydraulic servo actuatorFault simulationFailure modeBP neural networkFault diagnosis