Optimal anti-aliasing filter based on multi criteria sampled-data ∞ control
Paper i proceeding, 2015

A systematic evaluation procedure is presented and applied to generate optimal anti-aliasing filters. It is based on multi criteria ∞ optimization, where sampled-data measures are introduced to capture the intersample behavior. The optimization scheme is based on linear matrix inequalities (LMIs) formulated in the delta operator, and the result is a low order controller of PID type. Both low frequency performance, mid frequency stability margins and high frequency control activity are taken into account. A detailed investigation shows that a new simple rule for design of anti-aliasing filters gives nearly optimal closed loop performance for a number of representative plant models.

Författare

Bengt Lennartson

Chalmers, Signaler och system, System- och reglerteknik, Automation

Richard Middleton

Proceedings of the 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, United States, 15-17 December 2014

0743-1546 (ISSN)

4348-4354

Styrkeområden

Informations- och kommunikationsteknik

Produktion

Ämneskategorier

Reglerteknik

DOI

10.1109/CDC.2014.7040067