DocumentCode
3181422
Title
Positive real synthesis using matrix inequalities for mechanical networks: application to vehicle suspension
Author
Papageorgiou, Christakis ; Smith, Malcolm C.
Author_Institution
Dept. of Eng., Cambridge Univ., UK
Volume
5
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
5455
Abstract
This paper presents a procedure for the synthesis of positive real controllers based on matrix inequalities. The H2 and H∞ problems are considered and the resulting bilinear matrix inequality problems are solved using local, iterative algorithms. The procedure is applied to the synthesis of passive suspensions for the optimisation of certain performance measures for a quarter-car model. The characterisation of the positive real constraint using matrix inequalities and the use of a new mechanical element called the inerter, permits the optimisation over the entire class of positive real admittances and the realisation of the resulting admittance using passive elements. The optimisation results are compared with previous results obtained using optimisation over fixed-structure admittances. The proposed method can reproduce the previous results and achieve better results in certain cases.
Keywords
H∞ control; automobiles; control system synthesis; iterative methods; linear matrix inequalities; suspensions (mechanical components); H∞ problem; H2 problems; fixed structure admittances; inerter; local iterative algorithms; matrix inequalities; mechanical networks; passive elements; passive suspensions; performance measure optimisation; positive real admittances; positive real controller synthesis; quarter-car model; vehicle suspension; Admittance; Capacitive sensors; Constraint optimization; Control system synthesis; Force measurement; Iterative algorithms; Linear matrix inequalities; Network synthesis; Springs; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1429676
Filename
1429676
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