计算机应用 ›› 2018, Vol. 38 ›› Issue (9): 2735-2741.DOI: 10.11772/j.issn.1001-9081.2018030561

• 应用前沿、交叉与综合 • 上一篇    下一篇

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

王日俊1, 白越2, 曾志强1, 段能全1, 党长营1, 杜文华1, 王俊元1   

  1. 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
  • 收稿日期:2018-03-20 修回日期:2018-04-25 出版日期:2018-09-10 发布日期:2018-09-06
  • 通讯作者: 王日俊
  • 作者简介:王日俊(1982—),男,山西阳高人,讲师,博士,主要研究方向:飞行器故障诊断、容错控制;白越(1979—),男,辽宁北票人,副研究员,博士,主要研究方向:微小型无人飞行器动力学与控制;曾志强(1976—),男,湖南益阳人,副教授,博士,主要研究方向:故障特征辨识与诊断;段能全(1976—),男,安徽肥西人,讲师,硕士,主要研究方向:装备制造与检测;党长营(1983—),男,河南南阳人,讲师,博士,主要研究方向:射线故障检测;杜文华(1968—),女,山西太原人,教授,博士,主要研究方向:机器视觉检测;王俊元(1968—),男,山西繁峙人,教授,博士,主要研究方向:故障诊断。
  • 基金资助:
    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)。

Multi-sensor fault diagnosis method for quad-rotor aircraft based on adaptive observer

WANG Rijun1, BAI Yue2, ZENG Zhiqiang1, DUAN Nengquan1, DANG Changying1, DU Wenhua1, WANG Junyuan1   

  1. 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
  • Received:2018-03-20 Revised:2018-04-25 Online:2018-09-10 Published:2018-09-06
  • Contact: 王日俊
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (11372309), the Fundamental Research Fund for North University of China (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

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.

Key words: quad-rotor aircraft, adaptive observer, Laypunov method, fault diagnosis

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