@Article{SouzaGonz:2012:ApStRi,
author = "Souza, Luiz Carlos Gadelha de and Gonzales, R G",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Application of the state-dependent riccati equation and kalman
filter techniques to the design of a satellite control system",
journal = "Shock and Vibration",
year = "2012",
volume = "19",
number = "5",
pages = "22--28",
note = "Setores de Atividade: Atividades profissionais,
cient{\'{\i}}ficas e t{\'e}cnicas.",
keywords = "Satellite simulator, SDRE methodology, robust control.",
abstract = "Design of Satellite Attitude Control System (ACS) that involves
plant uncertainties and large angle manoeuvres following a
stringent pointing control, may require new non-linear control
techniques in order to have adequate stability, good performance
and robustness. In that context, experimental validation of new
non-linear control techniques through prototypes is the way to
increase confidence in the controller designed. The Space
Mechanics and Control Division (DMC) of INPE is constructing a 3-D
simulator to supply the conditions for implementing and testing
satellite ACS hardware and software. The 3-D simulator can
accommodate various satellites components; like sensors,
actuators, computers and its respective interface and electronic.
Depending on the manoeuvre the 3-D simulator plant can be highly
non-linear and if the simulator inertia parameters are not well
determined the plant also can present some kind of uncertainty. As
a result, controller designed by linear control technique can have
its performance and robustness degraded, therefore controllers
designed by new non-linear approach must be considered. This paper
presents the application of the State-Dependent Riccati Equation
(SDRE) method in conjunction with Kalman filter technique to
design a controller for the DMC 3-D satellite simulator. The SDRE
can be considered as the non-linear counterpart of Linear
Quadratic Regulator (LQR) control technique. Initially, a simple
comparison between the LQR and SDRE controller is performed. After
that, practical applications are presented to address problems
like presence of noise in process and measurements and incomplete
state information. Kalman filter is considered as state observer
to address these issues. The effects of the plant non-linearities
and noises (uncertainties) are considered in the performance and
robustness of the controller designed by the SDRE and Kalman
filter. The 3-D simulator simulink-based model has been developed
to perform the simulations examples to investigate the SDRE
controller performance using the states estimated by the Kalman
filter. Simulations have demonstrated the validity of the proposed
approach, once the SDRE controller has presented good stability
margin, great performance and robustness.",
doi = "10.3233/SAV-2012-0701",
url = "http://dx.doi.org/10.3233/SAV-2012-0701",
issn = "1070-9622",
label = "lattes: 5801699053436537 1 SouzaGonz:2012:ApStRi",
language = "en",
targetfile = "fulltext.pdf",
urlaccessdate = "18 abr. 2024"
}