| 引用本文: | 蔺君,张平.采用预估L2–L∞滤波器的传感器信号重构[J].控制理论与应用,2016,33(2):243~250.[点击复制] |
| LIN Jun,ZHANG Ping.Sensor signal reconfiguration using pre-estimated L2–L∞ filter[J].Control Theory and Technology,2016,33(2):243~250.[点击复制] |
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| 采用预估L2–L∞滤波器的传感器信号重构 |
| Sensor signal reconfiguration using pre-estimated L2–L∞ filter |
| 摘要点击 1844 全文点击 2211 投稿时间：2015-05-18 修订日期：2015-08-28 |
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| DOI编号 10.7641/CTA.2016.50413 |
| 2016,33(2):243-250 |
| 中文关键词 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 |
| 英文关键词 pre-estimated L2–L∞ filter signal reconfiguration L2–L∞ filter partial state observer analytical redundancy |
| 基金项目 解放军总装预研项目(513250202)资助. |
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| 中文摘要 |
| 对于含有未建模动态的SIMO系统, 本文提出利用预估L2–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L2–L∞滤波器存在条件, 给出预估L2–L∞滤波器设计及其参数求解方法. 通过将预
估L2–L∞滤波器、L2–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L2–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?. |
| 英文摘要 |
| 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 than
0.1 degree, while the system and the control input unmodeled dynamics flutter within 30% and 20%. |
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