Sensor and Actuator Fault Detection and Isolation for a High Performance Aircraft Engine Bleed Air Temperature Control System

Abstract

In this brief, an unscented Kalman filter (UKF)-based method is developed to detect and isolate both temperature sensor and valve actuator faults of a high performance aircraft bleed air temperature control system . The proposed method involves two unscented Kalman filters: one is used to detect sensor fault and the other is dedicated to actuator fault detection. Nonlinear state space equations describing the engine bleed air temperature control system test rig dynamics are derived and utilized in the design and convergence analysis of the proposed fault detection and isolation method. Computer simulations and experiments have been conducted, and the proposed fault detection method is shown to be effective in detecting and isolating sensor and actuator faults.