Tuning for robustness and performance using iterative feedback tuning

Author

Veres, Sandor ; Hjalmarsson, Håkan

Author_Institution

Sch. of Eng. Sci, Southampton Highfield Univ., UK

Volume

4

fYear

2002

fDate

10-13 Dec. 2002

Firstpage

4682

Abstract

Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The method is based on numerical optimization. In each iteration of the optimisation an unbiased gradient estimate is used. In this contribution the results of are refined and developed further. Improvements are introduced on the optimization procedures of the IFT scheme to allow for joint optimization of non-conflicting criteria of stability robustness and performance. Also the case of weighted additive uncertainty is considered as an alternative to the co-prime factor perturbations as used by Glover and McFarlane (1989). Optimization of the estimate of the H_∞ robustness criterion is now based on global optimization to increase reliability.

Keywords

H^∞ control; closed loop systems; feedback; gradient methods; optimisation; perturbation techniques; reliability; robust control; H_∞ robustness; closed loop experiment; coprime factor perturbations; iterative feedback tuning; joint optimization; numerical optimization; performance; reliability; robustness; stability robustness; unbiased gradient estimate; uncertainty; Closed loop systems; Data engineering; Feedback loop; Robust control; Robust stability; Robustness; Sensor systems; Stability criteria; Temperature control; Uncertainty;

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.2002.1185117

Filename

1185117