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基于LPV模型的鲁棒故障检测滤波器设计
引用本文:黄旭明,缑林峰,王鑫.基于LPV模型的鲁棒故障检测滤波器设计[J].计算机仿真,2008,25(4):30-33.
作者姓名:黄旭明  缑林峰  王鑫
作者单位:1. 福建师范大学数学与计算机科学学院,福建,福州,350007
2. 西北工业大学动力与能源学院,陕西,西安,710072
摘    要:针对航空发动机动态过程中由于模型误差造成故障检测误报的问题,采用雅克比方法建立航空发动机动态线性变参数(LPV)数学模型反映发动机动态特性,利用特征结构配置法设计故障检测滤波器,较好地消除了模型偏差对故障检测准确率的影响.通过某型涡扇发动机控制系统传感器典型软、硬故障检测仿真实验表明,该方法提高了残差信号对模型误差和未知输入信号的鲁棒性,对发动机加减速过渡过程中故障检测准确度高,实时性好.

关 键 词:航空发动机  特征结构配置  故障检测滤波器
文章编号:1006-9348(2008)04-0030-04
修稿时间:2007年11月27

Design of Robust Fault Detection Filter Based on LPV Model
HUANG Xu-ming,GOU Lin-feng,WANG Xin.Design of Robust Fault Detection Filter Based on LPV Model[J].Computer Simulation,2008,25(4):30-33.
Authors:HUANG Xu-ming  GOU Lin-feng  WANG Xin
Affiliation:HUANG Xu-ming1,GOU Lin-feng2,WANG Xin2 (1.School of Mathematics , Computer Science,Fujian Normal University,Fuzhou Fujian 350007,China,2.School of Power , Energy,Northwestern Polytechnical University,Xi\'an Shanxi 710072,China)
Abstract:Reducing fault detection mistake in aero engine dynamic process is a hotspot.This paper builds a mathematical model based on LPV modeling to exactly describe the characteristics of aero engine dynamic process,eliminate the effect of modeling error.The FDF is designed using eigenstructure assignment.The simulation results of turbofan engine control systems' typical sensor fault show that this method reduces the difference between residual signal and fault signal,enhances the robustness to unknown input,and t...
Keywords:Aero engine  Eigenstructure assignment  Fault detection filter  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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