DocumentCode :
2662819
Title :
The PID parameters tuning based on immune mind evolutionary algorithm
Author :
Ting, Li ; Gang Xie ; Jing, Zhang
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
51
Lastpage :
55
Abstract :
In accordance with the mechanism of immune clonal selection, a kind of PID parameter tuning method based on immune mind evolutionary algorithm was proposed in the paper. In the paper, the algorithm was also used in super-heated steam temperature PID tuning in thermal power plant and which was simulated in LabVIEW. The simulation results indicate that PID parameter tuning with IMEA has greater convergence ability than with MEA. The realization of the immune mind evolutionary algorithm in the LabVIEW makes a foundation for the further industrial application.
Keywords :
artificial immune systems; control system synthesis; evolutionary computation; heat transfer; thermal power stations; three-term control; LabVIEW; PID parameters tuning; immune clonal selection; immune mind evolutionary algorithm; superheated steam temperature PID tuning; thermal power plant; Convergence; Educational institutions; Evolutionary computation; Paper technology; Power generation; Temperature; Three-term control; Immune mind evolutionary algorithm; LabVIEW; PID parameters tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605319
Filename :
4605319
Link To Document :
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