基于多模型强跟踪CKF的故障诊断方法
详细信息 查看官网全文
- 英文论文题名：A Fault Diagnosis Approach Based on Multiple Model Estimator with Strong Tracking Cubature Kalman Filter
- 论文作者：邱岳恒 ; 高亚奎 ; 赵鹏轩
- 英文论文作者：QIU Yue-heng ; GAO Ya-kui ; ZHAO Peng-xuan ; AVIC The First Aircraft Institute of AVIC
- 年：2016
- 作者机构：中航工业第一飞机设计研究院;
- 论文关键词：故障诊断 ; 多模型方法 ; 容积卡尔曼滤波 ; 强跟踪滤波器
- 英文论文关键词：fault diagnosis ; multitude model method ; cubature Kalman filter ; strong tracking filter
- 会议召开时间：2016-07-15
- 会议录名称：2016航空试验测试技术学术交流会论文集
- 语种：中文
- 分类号：TN713
- 学会代码：ZGHU
- 学会名称：中国航空学会
- 页数：5
- 文件大小：542k
- 原文格式：O
摘要
针对扩展卡尔曼滤波和无迹卡尔曼滤波对非线性系统进行故障诊断存在估计精度低的问题,提出了一种新的故障诊断方法。该方法结合多模型方法和容积卡尔曼滤波器的优点,不仅能在线快速地检测出故障,而且采用的Spherical-Radial原则优化了sigma点的采样策略和权重分配,提高了滤波精度,且采用的强跟踪滤波器能在线更新容积卡尔曼滤波器的采样点,增强了容积卡尔曼滤波器的自适应能力。在作动器不同故障的情况下,通过与其他算法进行诊断对比,结果表明文中提出的算法在精度上具有明显的优势。
To improve the estimation accuracy of the extended Kalman filter and unscented Kalman filter,a new fault diagnosis approach has been proposed to the nonlinear system.The method combines the advantages of multitude model method and cubature Kalman filter,which can quickly detect the fault on-line.The sampling strategy and the weight distribution of sigma-point can be optimized based on Spherical-Radial cubature criteria,which improves the filtering accuracy,and adaptive capacity of cubature Kalman filter can be improved as the sampling point updated using the strong tracking filter.In the experiments of various aircraft actuator failures,the results indicate the effectiveness of the proposed algorithm compared with the other algorithm.
To improve the estimation accuracy of the extended Kalman filter and unscented Kalman filter,a new fault diagnosis approach has been proposed to the nonlinear system.The method combines the advantages of multitude model method and cubature Kalman filter,which can quickly detect the fault on-line.The sampling strategy and the weight distribution of sigma-point can be optimized based on Spherical-Radial cubature criteria,which improves the filtering accuracy,and adaptive capacity of cubature Kalman filter can be improved as the sampling point updated using the strong tracking filter.In the experiments of various aircraft actuator failures,the results indicate the effectiveness of the proposed algorithm compared with the other algorithm.
引文
[1]Rupp D,Ducard G,Shafai E,et al.Extended multiple model adaptive estimation for the detection of sensor and actuator faults[C]//Proceedings of the 44th IEEE Conference on Decision and Control.2005:3079-3084.
[2]Ducard G,Hans P G.Efficient nonlinear actuator fault detection and diagnosis system for unmanned aerial vehicles[J].Journal of Guidance,Control and Dynamics,2008,31(1).
[3]周东华,叶银忠.现代故障诊断与容错控制[M].北京:清华大学出版社,2000.
[4]van der Merwe R.Sigma-point Kalman filters for probabilistic inference in dynamic state-space models[D].Beaverton:Oregon Health and Science University,2004.
[5]Kim C,Sakthivel R,Chung W K.Unscented FastSLAM:A robust and efficient solution to the SLAM problem[J].IEEE Transactions on Robotics,2008,24(4):808-820.
[6]Hu D,Wu M P,Hu X P.A numerical-integration perspective on Gaussian filters[J].IEEE Transactions on Signal Processing,2006,54(8):2910-2921.
[2]Ducard G,Hans P G.Efficient nonlinear actuator fault detection and diagnosis system for unmanned aerial vehicles[J].Journal of Guidance,Control and Dynamics,2008,31(1).
[3]周东华,叶银忠.现代故障诊断与容错控制[M].北京:清华大学出版社,2000.
[4]van der Merwe R.Sigma-point Kalman filters for probabilistic inference in dynamic state-space models[D].Beaverton:Oregon Health and Science University,2004.
[5]Kim C,Sakthivel R,Chung W K.Unscented FastSLAM:A robust and efficient solution to the SLAM problem[J].IEEE Transactions on Robotics,2008,24(4):808-820.
[6]Hu D,Wu M P,Hu X P.A numerical-integration perspective on Gaussian filters[J].IEEE Transactions on Signal Processing,2006,54(8):2910-2921.