@InProceedings{SumidaCamLuzCruGoé:2015:FlDyPa,
author = "Sumida, Ivana Yoshie and Campos Velho, Haroldo Fraga de and Luz,
Eduardo F. P. and Cruz, Ronaldo V. and Go{\'e}s, Luiz Carlos S.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto
Tecnol{\'o}gico de Aeron{\'a}utica (ITA)} and {Instituto
Tecnol{\'o}gico de Aeron{\'a}utica (ITA)}",
title = "Flight dynamics parameter estimation of a rotary wing aircraft
using theoutput error minimization with natural and meta heuristic
methods",
year = "2015",
organization = "Pan-American Congress on Computational Mechanics, 1. (PANACM)",
keywords = "Flight Simulation, Parameter Identification, Multiple Particle
Collision Algorithm (MPCA).",
abstract = "Flight simulators are employed by civil and military pilots, as
well by engineers, in order to increase the security in training
of crew, and to find out the behavior of the aircraft under
different operational conditions. However, it is necessary to
calibrate the simulator software to have good adherence to real
flight. In this process, parameters of the mathematical model of
the flight simulation need to be identified, such that the
simulation is as close as possible to the real flight dynamic.
With appropriated values of these parameters, the simulator will
be ready for training or assessing the aircraft dynamics. This can
be described as an inverse problem or parameter identification,
formulated as an optimization problem. The simulator is designed
to represent the dynamics of the helicopter AS355-F2, for testing
two types of maneuvers were employed: a sinusoidal input and
3-2-1-1 pulse input. The aerodynamics derivatives estimation
methodology is also known as quad-M scheme, since it involves four
different processes: Measurement, Maneuver, Model, and Methods of
error minimization. The tested helicopter was equipped with the
Aydin Vector Data Acquisition System (AVDAS) PCU-816-I, ATD-800
digital recorder The system measures a total of thirty-five
different parameters. The calibration of a dynamic flight
simulator is achieved by two meta-heuristics: a Genetic Algorithm
and a new approach named Multiple Particle Collision Algorithm
(MPCA). Preliminary results show a good performance of the
employed optimization methods.",
conference-location = "Buenos Aires, Argentina",
conference-year = "29-29 Apr.",
language = "en",
urlaccessdate = "27 abr. 2024"
}