DocumentCode :
2363995
Title :
Two degree-of-freedom of self-tuning GPC for m-input m-output systems by using a genetic algorithm
Author :
Yanou, Akira ; Deng, Mingcong
Author_Institution :
Fac. of Eng., Okayama Univ., Okayama, Japan
fYear :
2010
fDate :
4-7 Aug. 2010
Firstpage :
1831
Lastpage :
1836
Abstract :
This paper proposes a design method of two degree-of-freedom of self-tuning GPC for m-input m-output systems by using a genetic algorithm. The genetic algorithm gives a solution of integral gain in two degree-of-freedom of self-tuning GPC. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there is modeling error or disturbance. Therefore the performance degradation caused by integral compensation can be avoided.
Keywords :
MIMO systems; compensation; control system synthesis; genetic algorithms; predictive control; self-adjusting systems; generalized predictive control; genetic algorithm; integral compensation; m-input m-output systems; self-tuning GPC; Automation; Conferences; Mechatronics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
ISSN :
2152-7431
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
Type :
conf
DOI :
10.1109/ICMA.2010.5588745
Filename :
5588745
Link To Document :
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