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Optimal anti-aliasing filter based on multi criteria sampled-data ∞ control

Bengt Lennartson (Institutionen för signaler och system, 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). p. 4348-4354. (2015)
[Konferensbidrag, refereegranskat]

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.

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Denna post skapades 2015-03-03. Senast ändrad 2017-01-30.
CPL Pubid: 213362


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Institutioner (Chalmers)

Institutionen för signaler och system, Automation (2005-2017)


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Chalmers infrastruktur