基于卡尔曼滤波器的容错控制和硬件在环验证  

Fault Tolerant Control and Hardware-in-the-loop Verification based on Kalman Filter

作　　者：刘莹 任雅浩 王继强[1] 胡忠志[1] LIU Ying;REN Ya-hao;WANG Ji-qiang;HU Zhong-zhi(College of Energy and Power Engineering,Nanjing University of Aeronautics and 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》2021年第S01期100-107,共8页Aeroengine

基　　金：中央高校基本科研业务费(NS20200017)资助。

摘　　要：为了有效地开展微型燃气轮机传感器的故障诊断和容错控制,在采用基于模型的设计方法建立微型燃气轮机部件级模型的基础上,使用了一种基于扩展卡尔曼滤波器的故障诊断和容错控制方法,能够有效地诊断出传感器故障,并重构正确信号继续进行闭环控制。使用MATLAB/Simulink的自动代码生成技术,将微型燃气轮机模型及故障诊断和容错控制方法在全数字仿真平台和硬件在环仿真平台进行集成和验证,结果表明:基于模型的设计方法的数字仿真结果与硬件在环仿真结果具有很高的一致性。In order to effectively develop fault diagnosis and fault tolerant control of micro gas turbine sensors,a fault diagnosis and fault-tolerant control method based on extended Kalman filter was used based on the model-based design method to establish the compo⁃nent-level model of micro gas turbine.This method could effectively diagnose the sensor fault and reconstruct the correct signal to continue the closed-loop control.By using MATLAB/Simulink automatic code generation technology,the micro gas turbine model and method of fault diagnosis and fault-tolerant control were integrated and verified in the full digital simulation platform and hardware-in-the-loop sim⁃ulation platform.The results show that the numerical simulation results of the model-based design method are consistent with those of the hardware-in-the-loop simulation results.

关 键 词：微型燃气轮机 卡尔曼滤波器 容错控制 硬件在环 

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]