DocumentCode
3107437
Title
Generator excitation control using a parameter space design method
Author
Yoshimura, Shuta ; Iki, Hiroyuki ; Uriu, Yoshihisa ; Anai, Hirokazu ; Hyodo, Noriko
Author_Institution
Seikei Univ.
fYear
2008
fDate
1-4 Sept. 2008
Firstpage
1
Lastpage
4
Abstract
Recently, the trend of control engineering changes from classical control theory to modern control theory, and also analogue to digital with times. But, even now parameter adjustment in generator excitation control has been often carried out by the classical loop-shaping method using a Bode diagram. Modern control theory has seldom been used in practice due to the facts that the experience of using such design methods is insufficient and there are no introduction results in actual design situations. However, the classical loop-shaping method has some drawbacks, e.g., sensitivity adjustment procedure by a Bode diagram is complicated and cumbersome. In this paper we employ a loop-shaping method using Hinfin norm constraints, which is achieved via a parameter space approach accomplished by symbolic method called quantifier elimination (QE) and apply it to design PI control type AVR of the excitation control. The method allows us to determine appropriate parameter values of PI controller for visually in a parameter space. We report some simulation results for the PI control type AVR design and inspect the performance.
Keywords
AC generators; Bode diagrams; PI control; control system synthesis; machine control; voltage control; Bode diagram; PI control design; generator excitation control; loop-shaping method; parameter space design method; quantifier elimination; Character generation; Control engineering; Control systems; Control theory; Design methodology; Mathematical model; Pi control; Power generation; Stability; Thyristors; Excitation control; MATLAB/Simulink; Quantifier Elimination; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location
Padova
Print_ISBN
978-1-4244-3294-3
Electronic_ISBN
978-88-89884-09-6
Type
conf
DOI
10.1109/UPEC.2008.4651654
Filename
4651654
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