Quadratic cost function design for linear optimal control systems

Author

Aldeen, M. ; Crusca, F.

Author_Institution

Dept. of Electr. & Electron Eng., Melbourne Univ., Parkville, Vic., Australia

fYear

1992

Firstpage

958

Abstract

A systematic method for choosing a quadratic cost function for linear optimal control systems is presented. The method is based on the identification of the most controllable and observable modes of the system. The method is used for the design of an optimal proportional-plus-integral controller for a large-scale electric power system comprising 12 machines, transmission lines and load centers. It is shown that the controller obtained by the proposed method significantly improves the dynamic performance of the power system

Keywords

control system synthesis; linear systems; optimal control; power system control; three-term control; PID controller; design; dynamic performance; large-scale electric power system; linear optimal control systems; load centers; machines; optimal proportional-plus-integral controller; quadratic cost function; transmission lines; Control systems; Controllability; Cost function; Observability; Optimal control; Pi control; Power system dynamics; Proportional control; State feedback; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-0849-2

Type

conf

DOI

10.1109/TENCON.1992.271828

Filename

271828