12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Minimax-LQG control of a flexible plate using f...
View graph of relations

« Back

Minimax-LQG control of a flexible plate using frequency domain subspace identified models

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Associated organisational unit

Publication date2011
Host publicationMechatronics (ICM), 2011 IEEE International Conference on
PublisherIEEE
Pages265-270
Number of pages6
ISBN (Print)978-1-61284-982-9
Original languageEnglish

Abstract

In this paper identification and optimal robust Minimax-LQG control design are studied for active vibration control of a flexible plate. Two frequency domain subspace methods including maximum likelihood technique are used to identify the model of the plate. Since the identified models are unstable, an iterative algorithm is applied to stabilize them. The obtained models have a good fitness up to the frequency 220 Hz and this frequency range contains three modes of the flexible plate. These first three modes are selected for control and the rest are chosen as uncertainty. The Chebychev and Yule-Walker filters are designed to model the weighting function of uncertainties for design of Minimax-LQG controller. These weights have a great effect on robust stability and performance of the control system. Simulation results are presented to show the effectiveness of designed controllers for all stabilized identified models and uncertainty weights. The results confirm that the obtained indices for identified models are good measures to predict the performance of the designed controllers based on them.