采用预估L_2–L_∞滤波器的传感器信号重构  

Sensor signal reconfiguration using pre-estimated L_2–L_∞ filter

作　　者：蔺君[1] 张平[2] 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191 [2]北京航空航天大学国防科技重点实验室,北京100191

出　　处：《控制理论与应用》2016年第2期243-250,共8页Control Theory & Applications

基　　金：解放军总装预研项目(513250202)资助~~

摘　　要：对于含有未建模动态的SIMO系统,本文提出利用预估L_2–L_∞滤波器实现对故障传感器信号的重构.通过建立故障信号与最小相对阶的测量信号间的传递函数阵,由相对阶最小的测量信号实现对故障传感器信号的预估,并在此预估信号基础上,结合L_2–L_∞滤波器存在条件,给出预估L_2–L_∞滤波器设计及其参数求解方法.通过将预估L_2–L_∞滤波器、L_2–L_∞滤波器及部分状态观测器在飞行器故障传感器信号重构中的对比,并由蒙特卡洛仿真实验,预估L_2–L_∞滤波器实现的由俯仰角速度对迎角信号的重构精度最高,且当系统矩阵及控制输入矩阵的未建模动态在±30%及±20%内浮动时,迎角重构误差小于0.1?.For SIMO systems contained unmodeled dynamics, pre-estimated L2–L∞ filter was proposed to to achieve reconfiguration of fault sensor signals. By establishing transfer function matrix of fault sensors＇ signals to the measurement with the minimum relative degree, pre-estimated signals of fault sensors were achieved. Combined with the presence of L2–L∞ filter, the design procedure of pre-estimated L2–L∞ filter were given. By contrast with the reconfigurations of aircraft fault sensors＇ signals achieving by pre-estimated L2–L∞ filter, L2–L∞ filter and partial state observer and with Monte Carlo simulation tests, the reconfiguration signal, i.e. attack angle reconfigured by pitch angular rate, which achieved by pre- estimated L2–L∞ filter has the highest precision. And the reconfiguration error of attack angle is less than0.1 degree, while the system and the control input unmodeled dynamics flutter within ±30% and ±20%.

关 键 词：预估L2–L∞滤波器 信号重构 L2–L∞滤波器 部分状态观测器 解析余度 

分 类 号：TN713[电子电信—电路与系统] V249[航空宇航科学与技术—飞行器设计]