Extended Linear QDMC of a Gibbsite Crystalliser: A Simulation Study

Tadayon, Abdolsamad; Tadé, Moses O.; Ang, Ha Ming

doi:10.1002/cjce.5450810513

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Predictive Control Strategy1

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2016

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“…The suitability of this control scheme for SISO and MIMO plants has been highlighted by many authors, e.g., [12], [13]. When input-output models are considered for controlling high-order systems, a QDMC scheme allows to dramatically reduce the online computational complexity of an optimization-based control approach [14], [15], [16].…”

Section: Predictive Control Strategymentioning

confidence: 99%

Fast Model Predictive Control for hydrogen outflow regulation in Ethanol Steam Reformers

Torchio

Ocampo‐Martínez

Magni

et al. 2016

2016 American Control Conference (ACC)

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Abstract-In the recent years, the presence of alternative power sources, such as solar panels, wind farms, hydro-pumps and hydrogen-based devices, has significantly increased. The reasons of this trend are clear: contributing to a reduction of gas emissions and dependency on fossil fuels. Hydrogenbased devices are of particular interest due to their significant efficiency and reliability. Reforming technologies are among the most economic and efficient ways of producing hydrogen. In this paper we consider the regulation of hydrogen outflow in an ethanol steam reformer (ESR). In particular, a fast model predictive control approach based on a finite step response model of the process is proposed. Simulations performed using a more realistic non-linear model show the effectiveness of the proposed approach in driving the ESR to different operating conditions while fulfilling input and output constraints.

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