석탄 가스화 복합 발전 플랜트의 분류층 가스화기 제어를 위한 선형 모델 예측 제어 기법 = Linear Model Predictive Control of an Entrained-flow Gasifier for an IGCC Power Plant

다국어 초록 (Multilingual Abstract)

In the Integrated Gasification Combined Cycle (IGCC), the stability of the gasifier has strong influences onthe rest of the plant as it supplies the feed to the rest of the power generation system. In order to ensure a safe and stableoperation of the entrained-flow gasifier and for protection of the gasifier wall from the high internal temperature, thesolid slag layer thickness should be regulated tightly but its control is hampered by the lack of on-line measurement forit. In this study, a previously published dynamic simulation model of a Shell-type gasifier is reproduced and two differentlinear model predictive control strategies are simulated and compared for multivariable control of the entrained-flowgasifier. The first approach is to control a measured secondary variable as a surrogate to the unmeasured slag thickness. The control results of this approach depended strongly on the unmeasured disturbance type. In other words, the slagthickness could not be controlled tightly for a certain type of unmeasured disturbance. The second approach is to estimatethe unmeasured slag thickness through the Kalman filter and to use the estimate to predict and control the slagthickness directly. Using the second approach, the slag thickness could be controlled well regardless of the type ofunmeasured disturbances.

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