Robust Controller Design by Convex Optimization based on Finite Frequency Samples of Spectral Models

Some frequency-domain controller design problems are solved using a finite number of frequency samples. Consequently, the performance and stability conditions are not guaranteed for the frequencies between the frequency samples. In this paper, all possible interpolants between the frequency samples of the open-loop system are bounded using convex constraints on a linearly parameterized controller. These constraints are integrated in a method which solves an H_inf control problem based on spectral models by convex optimization. The method is applied to a simulation example. It is shown how the added conservatism is reduced while the number of frequency samples is increased.


Published in:
49Th Ieee Conference On Decision And Control (Cdc), 4317-4322
Presented at:
49th Conference on Decision and Control, Atlanta, Georgia, USA, December 15-17, 2010
Year:
2010
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-7746-3
Keywords:
Laboratories:




 Record created 2010-04-06, last modified 2018-01-28

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