航空发动机非线性分布式控制系统故障检测

Fault Detection for Aeroengine s Nonlinear Distributed Control System

针对航空发动机非线性分布式控制系统的故障检测问题,首先,通过辨识方法建立了具有多项式组合形式的航空发动机非线性模型,并考虑网络因素,建立了具有随机时延的航空发动机非线性分布式控制系统模型。然后,把非线性分布式控制系统看成是一种随机系统,为其设计了非线性的故障观测器,应用Lyapunov稳定性理论和随机系统均方渐近稳定理论推导了故障观测器误差系统均方渐近稳定的线性矩阵不等式条件,并求得了线性矩阵不等式的可行解。最后,给出了具体的故障检测步骤,并通过仿真计算验证了所提算法的有效性。

The problem of fault detection for the aeroengine s nonlinear distributed control system is studied.First an nonlinear model in the form of polynomial combination is established for the aeroengine by using the identification method.Then in consideration of the network factors a model with random time delay is established for the aeroengine s nonlinear distributed control system.After that the nonlinear distributed control system is regarded as a random system for which a nonlinear fault observer is designed.The fault observer error system s mean-square asymptotically-stable working condition in the form of Linear Matrix Inequality(LMI)is derived by applying the Lyapunov stable theory and the mean-square asymptotically-stable theory of the random system and a feasible LMI solution is also obtained.Finally the specific steps of fault detection are given and the validity of the proposed fault detection algorithm is verified through simulation.