Fault Diagnosis And Fault-Tolerant Control For Aeroengine With Sensor Fault Based On T-S Fuzzy Model

Aeroengine is the key component of aircraft as well as a nonlinear control object. With the increasing application of spacecraft, there are growing attention and research on aeroengine. As electronic components, the sensors for data measuring in aeroengine are very prone to failure in the complex working conditions. When aeroengine sensors undertake failure, it is required that the aeroengine control system still can guarantee the stability of the engine or even accomplish the task. Therefore, the research of aeroengine sensor fault diagnosis and fault-tolerant control technology is of great significance.Consider the situation of aeroengine occurring sensor fault, this thesis designes fault diagnosis method and static output feedback fault-tolerant controller for sensor fault based on T-S fuzzy model respectively. The main works are as follows:Firstly, the recursive formula of Kalman filtering of a T-S fuzzy model is given based on the standard Kalman filtering equation. On the basis of the fuzzy Kalman filter, the method of fault detection, isolation and data reconstruction for a T-S fuzzy system with sensor fault is proposed.Secondly, for the T-S fuzzy model with one sensor fault, the static output feedback fuzzy controller is designed to ensure its stability. The sufficient condition that can ensure the globally asymptotic stability of a T-S fuzzy system with one sensor fault is given. According to Lyapunov theorem, it is rigorously proved that the derived sufficient condition can globally stabilize a T-S fuzzy system with one sensor fault. Based on the presented sufficient condition, a series of feasible LMIs are proposed.Finally, the effectiveness of the developed methods is verified by an example of the T-S fuzzy model of aeroengine using MATLAB software. The simulation results prove that the proposed method of fault diagnosis is able to perform sensor fault diagnosis and fault sensor data reconstruction, and that the designed static output feedback fault-tolerant controller can guarantee the asymptotic stability of the T-S fuzzy system with one sensor fault. Conclusion is given at the last of this thesis with a perspective of future works.