基于扩展卡尔曼滤波器的微型燃气轮机传感器故障诊断与硬件在环验证  

Fault Diagnosis and Hardware-in-the-loop Testing of Microturbine Sensor Based on Improved Kalman Filter

作　　者：任雅浩 金崇文 王继强[1] 胡忠志[1] REN Ya-hao;JIN Chong-wen;WANG Ji-qiang;HU Zhong-zhi(College of Energy and Power Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学能源与动力学院,南京210016

出　　处：《航空发动机》2020年第2期1-8,共8页Aeroengine

基　　金：中央高校基本科研业务费(NS20200017);中央军委基础加强计划技术领域基金(NO.2019-JCJQ-JJ-347)资助。

摘　　要：为了解决微型燃气轮机在变工况条件下的传感器信号故障诊断问题,提出了基于1簇卡尔曼滤波器的故障诊断方法。该方法基于V字研发流程,使用基于模型的设计方法开发了Simulink微型燃气轮机部件级仿真模型,设计了变负载条件下的传感器故障诊断与隔离系统。基于全数字仿真平台和硬件在环仿真平台对模型以及故障诊断与隔离系统进行集成验证。结果表明:基于MBD方法的全数字仿真及硬件在环仿真具有很高的一致性,能够快速实现模型转换及验证,为微型燃气轮机控制算法开发与硬件在环验证提供了有力的支持。In order to solve the problem of fault diagnosis of microturbine sensor signal under variable working conditions,a fault diagnosis method based on a bank-of-Kalman-filter was proposed. The model-based design method was used to develop the simulation model of the Simulink microturbine component level based on the V-development process. The Fault Diagnosis and Isolation(FDI)system of the sensor was designed under the variable load condition. The model and the FDI system were integrated and verified based on the full digital simulation platform and the hardware-in-the-loop simulation platform. The results show that the full digital simulation and hardware-in-the-loop simulation based on MBD method have high consistency, and can quickly realize model transformation and verification,which provides powerful support for the development of microturbine control algorithm and hardware-in-the-loop verification.

关 键 词：微型燃气轮机 1簇卡尔曼滤波器 故障诊断与隔离 硬件在环验证 航空发动机 

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]