Dynamic gain scheduled control for multivariable processes

Author

Kwatra, Harpreet S. ; Doyle, Francis J., III

Author_Institution

Sch. of Chem. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

1

fYear

1998

fDate

21-26 Jun 1998

Firstpage

333

Abstract

A controller which employs dynamically scheduled control parameters has been introduced in earlier work by the authors (1998). This dynamic gain scheduling (DGS) algorithm is extended for multivariable processes and systems with arbitrary relative degree. The multi-input multi-output DGS controller is demonstrated on an industrial benchmark problem-a solution copolymerization process. Simulations show that the DGS controller is significantly better than a four PI controller system, and compares favorably to a 3×3 model predictive controller

Keywords

MIMO systems; chemical technology; multivariable control systems; polymerisation; process control; dynamic gain scheduled control; dynamically scheduled control parameters; multi-input multi-output controller; multivariable processes; solution copolymerization process; Adaptive control; Control systems; Dynamic scheduling; Electrical equipment industry; Industrial control; Job shop scheduling; Linear feedback control systems; Nonlinear equations; Process control; Scheduling algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.694686

Filename

694686