Model predictive control of multi-rate sampled-data systems: a state-space approach
作者:
J H. LEE,
MARCS. GELORMINO,
MANFRED MORARIH,
期刊:
International Journal of Control
(Taylor Available online 1992)
卷期:
Volume 55,
issue 1
页码: 153-191
ISSN:0020-7179
年代: 1992
DOI:10.1080/00207179208934231
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A model predictive control (MPC) technique is developed for systems with measurements available at different sampling rates. The method uses general state-space system representations that incorporate secondary measurements as well as primary measurements. The optimal multi-rate (MR) filtering method is used to develop prediction equations for MPC. A simple suboptimal cascade filter is also proposed for dual-rate (DR) systems where the primary measurements are available at a 'slow’ rate and the secondary measurements are available at a 'fast’ rate. In addition to significant reduction in filter-gain computation requirements, the suboptimal filtering strategy offers superior primary-measurement-failure tolerance. The applicability of the proposed methods to realistic systems is demonstrated through an example application to a high-purity distillation column.
点击下载:
PDF (1003KB)
返 回