The ALSTOM benchmark challenge on gasifier control

Dixon, Roger; Pike, Andrew; Donne, Mark

doi:10.1243/0959651001540744

Cited by 43 publications

(63 citation statements)

References 3 publications

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“…• The reactor/regenerator section of a Model IV fluid catalytic cracking unit [25]; • Emulsion polymerization with population and particle balance [11]; • The ALSTOM gasifier that produces gas from carbonbased feedstock [8,7]; • Non-linear distillation model [35]. Matlab code is available for this simulation [36].…”

Section: First Principles Modelsmentioning

confidence: 99%

A continuous stirred tank heater simulation model with applications

Thornhill

Patwardhan

Shah

2008

Journal of Process Control

195

109

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This article presents a first principles simulation of a continuous stirred tank heater pilot plant at the University of Alberta. The model has heat and volumetric balances, and a very realistic feature is that instrument, actuator and process non-linearities have been carefully measured, for instance to take account of the volume occupied by heating coils in the tank. Experimental data from step testing and recordings of real disturbances are presented. The model in Simulink and the experimental data are available electronically, and some suggestions are given for their application in education, system identification, fault detection and diagnosis.

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Section: First Principles Modelsmentioning

confidence: 99%

A continuous stirred tank heater simulation model with applications

Thornhill

Patwardhan

Shah

2008

Journal of Process Control

195

109

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“…The units listed here are used consistently in all the figures below. Full details and performance tests are described in the introductory paper to this special issue [8].…”

Section: Traction (Wchr) Air Mass (Wair) Coal (Wcol) Steam Mass (Wmentioning

confidence: 99%

“…The present section of the paper considers the standard performance tests specified by [7,8]. Consider in the first instance, a PIP controller based on TF models obtained from open-loop experiments at the 100% load operating condition.…”

Section: Performance Testsmentioning

confidence: 99%

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Multivariable proportional-integral-plus (PIP) control of the ALSTOM nonlinear gasifier simulation

Taylor

Shaban

2006

IEE Proceedings - Control Theory and Applications

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Multivariable Proportional-Integral-Plus (PIP) control methods are applied to the nonlinear ALSTOM Benchmark Challenge II. The approach utilises a data-based combined model reduction and linearisation step, which plays an essential role in satisfying the design specifications. The discrete-time transfer function models obtained in this manner, are represented in a NonMinimum State Space (NMSS) form suitable for PIP control system design.Here, full state variable feedback control can be implemented directly from the measured input and output signals of the controlled process, without resort to the design and implementation of a deterministic state reconstructor or a stochastic Kalman filter. Furthermore, the non-minimal formulation provides more design freedom than the equivalent minimal case, a characteristic that proves particularly useful in tuning the algorithm to meet the Benchmark specifications. The latter requirements are comfortably met for all three operating conditions by using a straightforward to implement, fixed gain, linear PIP algorithm.

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“…The "challenge information pack" [1] comprises three linear models with detailed specifications, including output limits, control input constraints, and disturbance tests. In June 2002, the second round challenge [2] [3] was issued, and it extended the original study by providing the full non-linear model of the gasifier in M ATLAB/S IMULINK.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem

Huang¹,

Liu²

2015

IJCCE

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Based on a thing that it is difficult to choose the parameters of active disturbance rejection control for the non-linear ALSTOM gasifier, multi-objective optimization algorithm is applied in the choose of parameters. Simulation results show that performance tests in load change and coal quality change achieve better dynamic responses and larger scales of rejecting coal quality disturbances. The study provides an alternative to choose parameters for other control schemes of the ALSTOM gasifier.

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The ALSTOM benchmark challenge on gasifier control

Abstract: Integrated Gasification Combined Cycle (IGCC) power plants are being developed around the world to provide environmentally clean and efficient power generation from coal. As part of

Cited by 43 publications

References 3 publications

A continuous stirred tank heater simulation model with applications

A continuous stirred tank heater simulation model with applications

Multivariable proportional-integral-plus (PIP) control of the ALSTOM nonlinear gasifier simulation

Multi-Objective Optimization for Active Disturbance Rejection Control for the ALSTOM Benchmark Problem

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