: Optimal power spectrum in the multisine experiment design
Daniel Agudelo Norena , Piotr Lichota
AbstractThe 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.
|Publication size in sheets||0.6|
|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.|
|Score||= 5.0, 05-09-2019, MonographChapterAuthor|
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