Title :
Parallel eigenstructure assignment via LQR design and genetic algorithms
Author :
Bottura, Celso P. ; Neto, J. V da Fonseca
Author_Institution :
UNICAMP, Campinas, Brazil
Abstract :
Eigenstructure assignment difficulties through linear quadratic regulator (LQR) control designs are associated to the weighting matrices Q and R determination for the algebraic Riccati equation (ARE), whose solutions give the controller K gains, that are able to assign specified eigenvalues and eigenvectors. This work proposes a methodology to solve these difficulties, and based on it and on parallel hybrid genetic algorithms and parallel solutions of the LQR problems, an efficient approach is also developed. Finally, the controller performance is verified on an aircraft model
Keywords :
Riccati equations; aircraft control; asymptotic stability; eigenstructure assignment; genetic algorithms; linear quadratic control; matrix algebra; parallel algorithms; state feedback; LQR design; aircraft model; algebraic Riccati equation; genetic algorithms; linear quadratic regulator; parallel eigenstructure assignment; parallel hybrid genetic algorithms; weighting matrices; Algorithm design and analysis; Control design; Control systems; Cost function; Eigenvalues and eigenfunctions; Equations; Genetic algorithms; Performance gain; Regulators; Vectors;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786425
