Dynamically scheduled MPC of nonlinear processes using hinging hyperplane models

This article deals with the issues associated with designing scheduled model predictive controllers for nonlinear systems within the multiple-linear-model-based control framework. The issues of model set generation from empirical data and closed-loop application of the generated model set are considered. A method of hinging hyperplanes is proposed as a way to construct a piecewise linens dynamic model, conducive to dynamic scheduling of linear MPC controllers. The design and implementation of dynamically scheduled MPC using a hinge function model are discussed, as well as its advantages. Alternate MPC formulations considered here require more computation, but utilize the hinge function model as a global model. Simulated examples of isothermal CSTRs and a batch fermenter are also presented to illustrate the proposed methodologies.
Publisher
AMER INST CHEMICAL ENGINEERS
Issue Date
1998-12
Language
ENG
Keywords

RECEDING HORIZON CONTROL; LINEARIZATION FAMILIES; SYSTEMS; IDENTIFICATION; REGRESSION

Citation

AICHE JOURNAL, v.44, no.12, pp.2658 - 2674

ISSN
0001-1541
DOI
10.1002/aic.690441208
URI
http://hdl.handle.net/10203/73459
Appears in Collection
CBE-Journal Papers(저널논문)
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