DocumentCode
498215
Title
Study of PID Control System for Ant Colony Algorithm
Author
He, Hong ; Liu, Fang ; Li, Li ; Yang, Jin-Rong ; Su, Lei ; Wu, Yi
Author_Institution
Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
204
Lastpage
207
Abstract
The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parameter adopt experiment to add the way of trying to carry out optimization by man. It is fairly time-consuming, PID controller have no self-adaptive ability, can only rely on artificial optimization parameter. This paper puts forward a kind of algorithm to select the PID parameters based on the crowd algorithm of ant. Scientists have put forward the crowd algorithm of ant by imitating the ant collective in nature and. Imitation research has shown the validity of this algorithm. this algorithm have surmounted the disadvantages of traditional PID regulator parameter optimization.
Keywords
optimisation; three-term control; PID control systematic optimization design; ant colony algorithm; artificial optimization parameter; crowd algorithm; Algorithm design and analysis; Ant colony optimization; Cities and towns; Control systems; Design optimization; Intelligent systems; Laboratories; Regulators; Robustness; Three-term control; Ant Colony Optimization; PID control; TSP;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.137
Filename
5208988
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