An algorithmic method for control structure selection based on the RGA and RIA interaction measures

 
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1998 (EN)

An algorithmic method for control structure selection based on the RGA and RIA interaction measures (EN)

Lygeros, AI (EN)
Kookos, IK (EN)

A systematic framework for the generation of the most promising control structures for large dimensional systems is proposed in this paper. The new algorithm is based on the main properties of the RGA (Relative Gain Array) and RIA (Relative Interaction Array) matrices and the concepts of interaction, integrity and stability. It is shown that the minimization of the overall interaction in terms of the RIA matrix for multiinput-multioutput systems under several stability and structural constraints can be formulated as a mixed integer linear programming (MILP) problem. In order to demonstrate the usefulness of the proposed algorithm as a rigorous and systematic solution to the problem of the automatic generation of promising control structures, two large scale industrial problems are considered. © Institution of Chemical Engineers. (EN)

journalArticle (EN)

Mixed integer linear programming (MILP) (EN)
Control system analysis (EN)
Matrix algebra (EN)
System stability (EN)
Linear programming (EN)
Decentralized controllers (EN)
Relative interaction array (RIA) matrix (EN)
Integer programming (EN)
Relative gain array (RGA) matrix (EN)
Engineering, Chemical (EN)
Algorithms (EN)
Control structure selection (EN)
Decentralized control (EN)
RGA matrix (EN)
Control system synthesis (EN)
Constraint theory (EN)
Multi input multi output (MIMO) systems (EN)
RIA matrix (EN)


Chemical Engineering Research and Design (EN)

English

1998 (EN)

10.1205/026387698525072 (EN)
0263-8762 (EN)
464 (EN)
A4 (EN)
ISI:000074288100004 (EN)
458 (EN)
76 (EN)

INST CHEMICAL ENGINEERS (EN)




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