@Article{SouzaAren:2012:DeSaCo,
author = "Souza, Luiz Carlos Gadelha de and Arena, Victor M. R.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Federal
University of ABC, Santo Andr{\'e}, S{\~a}o Paulo, Brazil",
title = "Design of Satellite Control Algorihtm Using the State Dependent
Ricatti Equation and Kalman Filter",
journal = "Advances in the Astronautical Sciences",
year = "2012",
volume = "I",
number = "2",
pages = "235--243",
note = "Setores de Atividade: Atividades profissionais,
cient{\'{\i}}ficas e t{\'e}cnicas.",
keywords = "Robust Control System, State Dependent Ricatti Equation.",
abstract = "A properly attitude control algorithm design and test procedure
can dramatically minimize space mission costs by reducing the
number of errors that can be transmitted to the next phase of the
project. Besides, when attitude control algorithm problems are
discovered on-orbit the mission or at least part of it can be
lost. One way to increase confidence in the control algorithm is
its experimental validation through prototypes. The Space
Mechanics and Control Division (DMC) of INPE is constructing a 3D
simulator to supply the conditions for implementing and testing
satellite hardware and software. The 3D simulator can accommodate
various satellites components; like sensors, actuators, computers
and its respective interface and electronic. Depending on the
manoeuvre the 3D simulator plant can be highly non-linear and if
its inertia parameters are not well determined the plant can also
present some kind of uncertainty. As a result, controller designed
by linear control technique can have its performance and
robustness degraded. This paper presents the application of the
State-Dependent Riccati Equation (SDRE) method in conjunction with
Kalman filter to design and test a attitude control algorithm for
a 3D satellite simulator. The control strategy is based on gas
jets and reaction wheel torques to perform large angle manoeuvre
in three axes. The simulator model allows investigating the
dynamics and the control system taking into account effects of the
plant non-linearities and system noise. Initially, a simple
comparison between the LQR and SDRE controller is performed.
Practical applications are presented to address problems like
presence of noise in process and measurements and incomplete state
information using Kalman filter technique. Simulation has shown
the performance and robustness of the SDRE controller applied for
angular velocity reduction associated with stringent pointing
requirement.",
issn = "0065-3438",
label = "lattes: 5801699053436537 1 SouzaAren:2012:DeSaCo",
language = "en",
url = "http://www.space-flight.org/docs/2012_winter/2012_winter.html",
urlaccessdate = "19 abr. 2024"
}