%0 Journal Article
%4 sid.inpe.br/plutao/2015/12.04.13.49.04
%2 sid.inpe.br/plutao/2015/12.04.13.49.05
%@doi 10.1007/s40314-015-0243-2
%@issn 2238-3603
%F lattes: 3095429508961900 1 SantosRoccBoge:2015:DeLiTi
%T Design of a linear time-invariant control system based on a multiobjective optimization approach
%D 2015
%9 journal article
%A Santos, Willer Gomes dos,
%A Rocco, Evandro Marconi,
%A Boge, Toralf,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation German Aerospace Center (DLR)
%@electronicmailaddress willer.gomes@inpe.br
%@electronicmailaddress evandro.rocco@inpe.br
%@electronicmailaddress toralf.boge@dlr.de
%B Computational and Applied Mathematics
%V 1
%P 1-13
%K multi-objective optimization, control system.
%X This paper explores the optimal design problem of a linear time-invariant control system composed of three different types of linear parallel actuators. The actuators time constants have been defined to achieve a conflicting behavior among the transient response provided by them. Thus, a novel solution has been proposed to find the best selection of actuators gains to improve the performance parameters. Such methodology is based on a discrete multiobjective optimization technique. The transfer functions, as well as the transient response, have been derived and evaluated throughout this work. In addition, the stability conditions have been analyzed for a range of closed-loop poles and zeros. The discrete multiobjective optimization problem is formulated with a couple of objective functions: overshoot and settling time of the closed-loop response. A decision-making method has been used to find the best compromise solution from a group of candidate solutions. The results have indicated that a better performance can be achieved with a systematic multiobjective optimization methodology.
%@language en
%3 1_santos2.pdf