Regularized pole-placement adaptive control of a liquid-liquid extraction column
作者:
K. NAJIM,
H. YOULAL,
期刊:
International Journal of Systems Science
(Taylor Available online 1990)
卷期:
Volume 21,
issue 7
页码: 1313-1323
ISSN:0020-7721
年代: 1990
DOI:10.1080/00207729008910453
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Some critical computations in pole-placement design and in that of many model reference adaptive systems are described. These numerical problems are associated with the resolution of the diophantine equation. They occur when the assumption of no common poles and zeros is violated. Regularization techniques which cope with ill-conditioning are presented. The resulting algorithm combines a standard indirect pole-placement adaptive control algorithm and a dimension-free regularization procedure of the design equations, thus avoiding the pole-zero cancellation problem and yet retaining the other properties of the algorithm. The application of this control scheme in a pulsed liquid-liquid extraction column is described. The control objective is to optimize the column behaviour. Extraction columns are subject to changes in feed compositions, feed flow-rates, physical properties of the solvent (the extractor) and the solute (liquid mixture) and various disturbances. The column exhibits highly non-linear and time-varying dynamics. The conductivity measured at a specific place in the column and the pulse frequency have been selected as control variables. Experimental results demonstrate the usefulness and the robustness of this regularized pole-placement adaptive control algorithm.
点击下载:
PDF (167KB)
返 回