DocumentCode :
1973564
Title :
Optimal feedback control design using genetic algorithm applied to inverted pendulum
Author :
Pourshaghaghi, Hamid Reza ; Jaheh-Motlagh, M.R. ; Jalali, Ali-Akbar
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
fYear :
2007
fDate :
4-7 June 2007
Firstpage :
263
Lastpage :
268
Abstract :
This paper introduces an application of genetic algorithm (GA) to determine weighting matrices Q and R elements in linear quadratic regulator (LQR) optimization process. The weighting matrices, Q and R are the most important components in LQR optimization and determine the output performances of the system. Commonly, a trial-and-error method has been used to construct the elements of these matrices. This method is simple, but very difficult to choose the best values that have good control performances. Because of this, the Bryson method can be employed to give better results. In this paper, we use GA to construct the weighting matrices Q and R properly with help of Bryson method. This idea gives a new alternative procedure in time varying feedback control to improve the stability performance. This design implemented in an inverted pendulum as a benchmark control problem.
Keywords :
feedback; genetic algorithms; nonlinear systems; optimal control; pendulums; stability; time-varying systems; Bryson method; benchmark control problem; genetic algorithm; inverted pendulum; linear quadratic regulator optimization process; optimal feedback control design; stability; time varying feedback control; trial-and-error method; Algorithm design and analysis; Control systems; Design optimization; Feedback control; Genetic algorithms; Optimal control; Optimization methods; Paper technology; Power system stability; Regulators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
Conference_Location :
Vigo
Print_ISBN :
978-1-4244-0754-5
Electronic_ISBN :
978-1-4244-0755-2
Type :
conf
DOI :
10.1109/ISIE.2007.4374609
Filename :
4374609
Link To Document :
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