NONLINEAR MODEL PREDICTIVE CONTROL FOR THE ALSTOM GASIFIER BENCHMARK PROBLEM
نویسندگان
چکیده
منابع مشابه
Nonlinear Model Predictive Control for the Alstom Gasifier Benchmark Problem
Model predictive control has become a first choice control strategy in industry because it is intuitive and can explicitly handle MIMO linear and nonlinear systems with the presence of variable constraints and interactions. In this work a nonlinear state-space model has been developed and used as the internal model in predictive control for the ALSTOM gasifier. A linear model of the plant at 0%...
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In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions. A linear model of the plant at 0% load is adopted as a base model for prediction. A nonlinear static gain represented by a feedfor-ward neural network was i...
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This paper considers the analysis and controller design for the ALSTOM gasifier system. The inherent properties of this highly coupled multivariable system are studied. Minimal realizations of the system models at the three operating points to be considered are determined, and the numerical condition of the system is improved. Model order reduction methods are applied to simplify the subsequent...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2005
ISSN: 1474-6670
DOI: 10.3182/20050703-6-cz-1902.01587