@Article{RomeroSouz:2022:ApEvRe,
author = "Romero, Alessandro Gerlinger and Souza, Luis Carlos Gadelha de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal do ABC (UFABC)}",
title = "An Approach to Evaluate the Region of Attraction of Satellites
controlled by SDRE",
journal = "WSEAS Transactions on Systems",
year = "2022",
volume = "21",
pages = "75--85",
keywords = "control, LQR, Nonlinear, Region of Attraction, SDRE.",
abstract = "The control of a satellite can be designed with success by linear
control theory if the satellite has slow angular motions. However,
for fast maneuvers, the linearized models are not able to
represent the effects of the nonlinear terms. One candidate
technique for the design of the satellite's control under fast
maneuvers is the State-Dependent Riccati Equation (SDRE). SDRE
provides an effective algorithm for synthesizing nonlinear
feedback control by allowing nonlinearities. Nonetheless, much
criticism has been leveled against the SDRE because it does not
provide assurance of global asymptotic stability. Additionally,
there are situations in which global asymptotic stability cannot
be achieved (e.g., systems with multiple equilibrium points).
Therefore, especially in aerospace, estimating the region of
attraction (ROA) is fundamental. The Brazilian National Institute
for Space Research (INPE, in Portuguese) was demanded by the
Brazilian government to build remote-sensing satellites, such as
the Amazonia-1 mission. In such missions, the satellite must be
stabilized in three axes so that the optical payload can point to
the desired target. In this paper, we share an approach to
evaluate the ROAs of Amazonia-1 controlled by LQR (the linear
counterpart of SDRE) and SDRE. The initial results showed SDRE has
a larger ROA than LQR.",
doi = "10.37394/23202.2022.21.9",
url = "http://dx.doi.org/10.37394/23202.2022.21.9",
issn = "1109-2777",
language = "en",
targetfile = "a185102-006(2022).pdf",
urlaccessdate = "05 jun. 2024"
}