摘要：On-line parameter tracking in near-real time is a good alternative for advanced FDD/FTC systems, because an updated model is often a prerequisite for many indirect adaptive control algorithms. For aircraft, monitoring and reconfiguring is beneficial to impaired airplanes, but also to under-equipped vehicles (UAS, small airplanes). Otherwise, many schemes have been proposed since the 80s to deal with the tricky problem of on-line estimation. However, their computational complexity is often incompatible with the constraints resulting from onboard implementation and A/C certification issues. Accordingly, this paper capitalizes on the reliable but simple enough U-D factorization algorithm, and proposes an extended version that includes multiple forgetting factors to adapt to possibly different parameter rates of change. After a detailed description of the algorithm, the approach is applied to an academic benchmark chosen to enable the comparison of different methods in realistic conditions, with and without excitation.
关键词：parameter identificationrecursive least squaresadaptive controlfault tolerant systems
