Abstract

In this paper, Recursive Least Squares (RLS) and Fourier Transform Regression (FTR) methods for estimating stability and control derivatives of small unmanned helicopter are evaluated together with MMLE technique. Flight data simulated by using a commercial small-scale helicopter model are exploited to estimate the parameters with accuracies for hover and cruise modes. The performances of the system identification methods are also compared by analyzing the responses of the reconstructed systems using estimated derivatives.

Keywords

• fourier transform regression (FTR);
• modified maximum likelihood estimation (MMLE);
• recursive least squares (RLS);
• system identification;
• unmanned rotorcraft

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References

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