: Optimal power spectrum in the multisine experiment design

Daniel Agudelo Norena , Piotr Lichota


The objective of the project was to determine if the accuracy of the estimated data for lateral motion could be increased by the use a priori model information during the system identification multisine maneuver design process. For this purpose, a linear aircraft model was used which contains a-priori information in terms of aerodynamic derivatives. A-priori Information allowed us to obtain a non-uniform power spectrum used in the design of the input signal that excited the ailerons and rudder. Three cases were analyzed for comparison. The first case was obtained with a uniform power spectrum distribution without a-priori knowledge implementation. The second case used the a-priori model state matrix information to determine dominant frequencies of the system and assigned more power to them. The third case a non-uniform optimized power spectrum was determined by the use of a genetic algorithm. The Relative Peak Factor was used as the decision variable to increase the efficiency of the design. A-priori knowledge was introducing by using Marchand methodology. The obtained maneuvers sets were used to excite the aircraft model. The system response was recorded and used to perform a parameter estimation for each case. The results were compared in terms of the accuracy.
Author Daniel Agudelo Norena
Daniel Agudelo Norena,,
, Piotr Lichota (FPAE / IAAM)
Piotr Lichota,,
- The Institute of Aeronautics and Applied Mechanics
Publication size in sheets0.6
Book Serna Edgar M. (eds.): Desarrollo e Innovacion en Ingnieria, 2016, Medellin, Kolumbia, Editotrial Instituto Antioqueno de Investigacion, ISBN 978-958-59127-3-1, 558 p.
Languageen angielski
Score (nominal)5
ScoreMinisterial score = 5.0, 05-09-2019, MonographChapterAuthor
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