On iterative feedback tuning for non-minimum phase plants

Author

Lecchini, Andrea ; GEVERS, Michel

Author_Institution

CESAME, Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium

Volume

4

fYear

2002

fDate

10-13 Dec. 2002

Firstpage

4658

Abstract

The iterative feedback tuning (IFT) is a data-based method for the tuning of restricted-complexity controllers. In the classical formulation, the IFT aims at minimizing a certain model-reference criterion in which the reference-model is chosen by the user. This minimization is based on signal information only. In this paper we formulate a new criterion for the IFT method. In the new criterion, some freedom is given to the reference-model in order to let it reproduce the features of the unknown plant (i.e. the delay and non-minimum phase zeros) which the controller should not attempt to change. It is shown that using the new criterion corresponds to giving more emphasis to the placement of the closed loop poles.

Keywords

closed loop systems; feedback; iterative methods; minimisation; poles and zeros; closed loop poles; data based method; delay; iterative feedback tuning; minimization; model reference criterion; nonminimum phase plants; nonminimum phase zeros; reference model; restricted complexity controllers; signal information; Control design; Control systems; Delay; Design methodology; Iterative methods; Poles and zeros; State feedback; System identification; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2002, Proceedings of the 41st IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-7516-5

Type

conf

DOI

10.1109/CDC.2002.1185113

Filename

1185113