Research on aircraft engine actuator and sensor faults diagnosis with Takagi-Sugeno fuzzy model and H^∞ observer

Abstract

This paper deals with aircraft engine actuator and sensor faults diagnosis with Takagi-Sugeno fuzzy model and H^∞ observer. At first, the T-S fuzzy system model of aircraft engine was built by dividing the envelope on the flight. The work process of aircraft engine can be divided into several regions and each region can be described using a set of state space model. Then these local current models can be integrated in full flight envelope to describe the engine working condition. With the nonlinear T-S model of aircraft engine, the actuator and sensor faults observers were designed with H^∞ bound norm to estimate the sensor and the actuator faults. In order to diagnose the faults of actuator and sensor simultaneously, a full faults diagnosis logical with T-S model and H^∞ observer was designed. With these steps, the aircraft engine actuator and sensor faults could be detected effectively. Finally, a numerical example is given to illustrate the design procedures. Simulation results show the satisfactory performances.