NDLI: GRDG analysis of the ALSTOM gasifier benchmark process under model plant mismatch

Content Provider	IEEE Xplore Digital Library
Author	Agustriyanto, R. Jie Zhang
Copyright Year	2007
Description	Author affiliation: Newcastle Univ., Newcastle upon Tyne (Agustriyanto, R.; Jie Zhang)
Abstract	An optimization based method for determining relative disturbance gain array (RDGA) range for uncertain system is presented and is then applied to control structure analysis of the ALSTOM gasifier benchmark process. Reduced order linear models were identified from simulated plant operating data. Several different models were obtained under different operating conditions and model uncertainty bounds were obtained from those models. The generalized relative disturbance gain (GRDG) ranges under plant model uncertainty were then determined from a structure selection matrix in conjunction with relative disturbance gain array (RDGA) range and used in selecting robust decentralized control structure. GRDG bounds are particularly useful for control structure determination and the related robustness as they provide information regarding the sensitivity to gain uncertainties.
Starting Page	883
Ending Page	888
File Size	760076
Page Count	6
File Format	PDF
ISBN	9788995003862
DOI	10.1109/ICCAS.2007.4407027
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-17
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	ICASE
Subject Keyword	Robust control Uncertain systems Uncertainty Chemical analysis Chemical engineering uncertain systems Process control Optimization methods Control system synthesis Control systems robust control Steady-state
Content Type	Text
Resource Type	Article

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