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.
引文
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