Minnan Piao, Zhigang Chen, Mingwei Sun, Xinhua Zhang, Zengqiang Chen

DOI Number XXX-YYY-ZZZ

Conference Number HiSST-2022-15

In this paper, an adaptive notch filter (ANF) design approach is proposed for the flexible high-speed
vehicle. For practical applications, the requirements for the ANF are analyzed first, among which the
direct acquisition of the frequency estimation is particularly important for the online effectiveness
monitoring. Thus, two schemes for the direct frequency estimation, the individual adaptation (IA) and
the simultaneous adaptation (SA) based on the recursive maximum likelihood method, respectively, are
comprehensively compared. To guarantee that all the frequencies can be estimated precisely under the
low signal-to-noise ratio, a strategy of supervising the frequency estimations is proposed for the two
schemes. It is concluded that the convergence performance can be improved significantly with such a
strategy. Moreover, it is found that the estimation bias of the supervised SA (SSA) is smaller than that
of the supervised IA (SIA) both in tracking stationary and time-varying frequencies. Thus, the SSA
method is more favourable in practice due to the high precision and robustness. Finally, simulations on
a flexible high-speed vehicle are performed to demonstrate the effectiveness of the proposed SSA in
the aeroservoelasticity suppression.

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In Categories: 1.Events, Guidance & Control Systems, HiSST 2022
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