期刊
FUZZY SETS AND SYSTEMS
卷 125, 期 1, 页码 39-59出版社
ELSEVIER
DOI: 10.1016/S0165-0114(01)00050-1
关键词
predictive control; model-based control; fuzzy control; Takagi-Sugeno fuzzy model; non-linear
A long-range model-based predictive control algorithm which is based on the Takagi-Sugeno-Kang piece-wise linear fuzzy modelling approach is proposed. A non-linear multivariable chemical processes represented by a binary distillation column is used as a test-bed for a series of experiments, results of which suggest that the controller performs better than the long-range predictive control algorithm which is based on a linear modelling approach, in terms of effective set-point tracking and interactions handling. (C) 2002 Elsevier Science B.V. All rights reserved.
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