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基于自适应观测器的四旋翼无人飞行器多传感器故障诊断方法
引用本文:王日俊,白越,曾志强,段能全,党长营,杜文华,王俊元. 基于自适应观测器的四旋翼无人飞行器多传感器故障诊断方法[J]. 计算机应用, 2018, 38(9): 2735-2741. DOI: 10.11772/j.issn.1001-9081.2018030561
作者姓名:王日俊  白越  曾志强  段能全  党长营  杜文华  王俊元
作者单位:1. 中北大学 机械工程学院, 太原 030051;2. 中国科学院 长春光学精密机械与物理研究所, 长春 130033
基金项目:国家自然科学基金资助项目(11372309);中北大学自然科学基金资助项目(XJJ2016006)。
摘    要:为了实现对四旋翼无人飞行器多传感器故障检测与诊断,提出一种基于自适应观测器的多传感器故障诊断方法。首先,在建立飞行器动力学模型和传感器模型的基础上,将传感器故障视为虚拟执行器故障,构建四旋翼无人飞行器多传感器故障检测与诊断系统;其次,设计非线性观测器实现多故障检测和与隔离,基于Laypunov方法设计非线性自适应观测器实现对多故障偏差值的估计;最后,在传感器测量噪声存在的情况下,证明自适应律的稳定性和参数收敛性。实验结果表明,该方法能有效进行多传感器的故障检测与隔离,实现对多传感器故障偏差的同时估计与跟踪。

关 键 词:四旋翼无人飞行器  自适应观测器  Laypunov方法  故障诊断  
收稿时间:2018-03-20
修稿时间:2018-04-25

Multi-sensor fault diagnosis method for quad-rotor aircraft based on adaptive observer
WANG Rijun,BAI Yue,ZENG Zhiqiang,DUAN Nengquan,DANG Changying,DU Wenhua,WANG Junyuan. Multi-sensor fault diagnosis method for quad-rotor aircraft based on adaptive observer[J]. Journal of Computer Applications, 2018, 38(9): 2735-2741. DOI: 10.11772/j.issn.1001-9081.2018030561
Authors:WANG Rijun  BAI Yue  ZENG Zhiqiang  DUAN Nengquan  DANG Changying  DU Wenhua  WANG Junyuan
Affiliation:1. School of Mechanical Engineering, North University of China, Taiyuan Shanxi 030051, China;2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun Jilin 130033, China
Abstract:In order to detect and diagnose multi-sensor faults of quad-rotor aircraft, a multi-sensor fault diagnosis method based on adaptive observer was proposed. Firstly, the sensor fault was regarded as the virtual actuator fault after the establishment of the aircraft dynamics model and sensor model, the multi-sensor fault detection and diagnosis system of quad-rotor aircraft was constructed. Secondly, a nonlinear fault observer was designed to realize multi-sensor fault detection and isolation, and the nonlinear adaptive observer was designed based on the Laypunov method to estimate the mutiple fault biases. Finally, the stability and parameter convergence of the adaptive laws were proved in the presence of sensor measurement noise. The experimental results show that the method can detect and isolate the faults of multiple sensors effectively, and realize the estimation and tracking of multiple sensors fault biases simultaneously.
Keywords:quad-rotor aircraft   adaptive observer   Laypunov method   fault diagnosis
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