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Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis

Lookup NU author(s): Rudy Agustriyanto, Dr Jie ZhangORCiD


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Exploring the disturbance rejection capability of possible multi-loop control structures for the ALSTOM gasifier benchmark process and selecting the appropriate control structure are presented in this paper. Generalized Relative Disturbance Gain (GRDG) analysis is used for control structure determination. In order to carry out GRDG analysis, process models in the form of transfer functions are obtained from the discrete time models identified using the Output-Error (OE) system identification method from the simulated process operation data. Models identified with the OE method can provide accurate long range prediction (or simulation) performance and, hence, lead to accurate transfer function models. The GRDG analysis of four control schemes proposed by Asmar et al. [1] clearly shows that the control structure employed by the baseline controller is the most favoured multi-loop control structure. This study provides explanations for the impressive performance of the ALSTOM baseline controller that are not available before.

Publication metadata

Author(s): Agustriyanto R, Zhang J

Publication type: Article

Publication status: Published

Journal: International Journal of Modelling, Identification and Control

Year: 2009

Volume: 6

Issue: 2

Pages: 126-135

ISSN (print): 1746-6172

ISSN (electronic): 1746-6180

Publisher: Inderscience Publishers


DOI: 10.1504/IJMIC.2009.024329


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