基于强跟踪多模型估计器的作动器故障诊断

Actuator fault diagnostics based on a strong-tracking multiple model estimator

在多操纵舵面飞机的自修复飞控系统中,快速准确地获得作动器的故障信息至关重要。该文将多模型思想与强跟踪滤波器相结合,在多模型自适应估计方法的基础上,提出了一种基于强跟踪多模型自适应估计器的作动器故障诊断方法。该方法改进了多模型自适应估计方法的不足之处,具有较好的鲁棒性和较强的自适应能力。它适用于非线性系统,能在线快速地检测出故障,并能较准确地估计出故障的大小。通过对各种作动器故障的仿真,验证了该算法的有效性。

Self-repairing aircraft flight control systems with multiple control surfaces need to quickly and accurately evaluate actuator fault information.The multiple model adaptive estimation method（MMAE）,a fault detection and diagnosis approach,was used to develop a strong-tracking multiple model adaptive estimator（STMMAE） which combines multiple models with a strong tracking filter.This approach corrects the disadvantages of the MMAE method and has good robustness and adaptability.This method can efficiently detect faults in nonlinear systems for on-line fault detection and accurate estimates of the fault value.Simulations show that this method is effective in various fault scenarios.