Process-optimizing multivariable control of a boiler system

Author

Pedersen, T.S. ; Hansen, T. ; Hangstrup, M.

Author_Institution

Dept. of Control Eng., Aalborg Univ., Denmark

Volume

2

fYear

1996

fDate

2-5 Sept. 1996

Firstpage

787

Abstract

This paper presents a method to apply multivariable controllers as optional process optimizing extensions to existing conventional control systems. The basic idea of the concept is to consider a conventionally controlled power plant boiler-85MW coal-fired drum boiler-as the process to be optimized. The control errors from the conventional controllers are used as inputs to a LQ controller. The outputs from the LQ-controller are added to the outputs from the conventional PI-type controllers. The control performance has been evaluated by computer simulation, using a detailed non-linear boiler model. The results show improved control in all cases compared to a conventionally controlled system. Furthermore the method offers an attractive and safe way to introduce multivariable controllers in power plant control.

Keywords

MIMO systems; Riccati equations; boilers; control system synthesis; digital simulation; linear quadratic control; minimisation; performance index; power station control; state-space methods; temperature control; two-term control; 85 MW; 85MW coal-fired drum boiler; LQ controller; PI-type controllers; boiler system; control errors; conventionally controlled power plant boiler; nonlinear boiler model; power plant control; process-optimizing multivariable control;

fLanguage

English

Publisher

iet

Conference_Titel

Control '96, UKACC International Conference on (Conf. Publ. No. 427)

ISSN

0537-9989

Print_ISBN

0-85296-668-7

Type

conf

DOI

10.1049/cp:19960652

Filename

656027