Adaptive Parameter Identification for Simplified 3D-Motion Model of `LAAS Helicopter Benchmark'
Alexander Fradkov, Boris Andrievsky, Dimitri Peaucelle, Sylvain Le Gac
The paper is devoted to design and experimental testing the
adaptive algorithms for identification of the angular motion
model parameters for ``LAAS Helicopter Benchmark''. The simplified
model describes the isolated pitch motion and interrelated
elevation and travel motions of the ``Helicopter''. The adaptive
identification algorithms are proposed, and the experimental
results are presented. Laboratory experiments clarify the
properties of the adaptive identification in the real-world
conditions. The identification results may be used to design the
3DOF control laws for the ``Helicopter'' both for adaptive and
non-adaptive cases.