基于MPC的航空发动机传感器容错控制  

Active Fault Tolerant Control for Sensor Faults of Aero-Engine Using Model Predictive Control

作　　者：白杰 王倩 王伟 刘程 BAI Jie;WANG Qian;WANG Wei;LIU Cheng(Key Laboratory on Civil Aircraft Airworthiness and Maintenance,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学天津市民用航空器适航与维修重点实验室

出　　处：《计算机仿真》2019年第12期25-30,共6页Computer Simulation

摘　　要：针对航空发动机传感器增益故障和偏差故障,本文提出了一种基于模型预测控制(Model Predictive Control,MPC)的主动容错控制方法。首先,该方法使用故障诊断单元(Fault Detection and Diagnosis,FDD)诊断出传感器的故障,然后,监控决策单元根据故障信息,在每一个采样时间调整预测模型来适应传感器故障以此达到容错的目的。最后,以CMPASS-90K涡扇发动机为例,进行了主动容错控制仿真,仿真结果验证了所提方法的有效性。该方法能够在调节故障的同时处理约束,降低传统控制器的复杂性。In this paper,an active fault tolerance method based on MPC is proposed in this paper for the gain and deviation fault of aero engine sensor.First,the we used the fault diagnosis unit(FDI)to diagnose the fault of the sensor.Then,the monitoring decision unit adjusted the prediction model to adapt to the fault of the sensor at every sampling time to achieve the purpose of fault tolerance.Finally,taking the CMPASS-90 K turbofan engine as an example,an active fault-tolerant control simulation was carried out,and the simulation results verified the effectiveness of the proposed method.This method can deal with constraints while adjusting faults and reduce the complexity of traditional controllers.

关 键 词：容错控制 模型预测控制 故障诊断 有效性因子 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]