DocumentCode
3113735
Title
Self-tuning of PID Parameters Based on the Modified Particle Swarm Optimization
Author
Xue, Yuncan ; Zhao, Haibin ; Yang, Qiwen
Author_Institution
Coll. of Comput. & Info. Eng., Hohai Univ., Changzhou
fYear
2006
fDate
16-18 Aug. 2006
Firstpage
870
Lastpage
873
Abstract
To overcome premature of standard particle swarm optimization (SPSO) algorithm, a modified particle swarm optimization (MPSO) based on partial particle moving direction changing was proposed. It holds on the proprieties of simple structure, fast convergence, and at the same time, enhances the variety of the populations, extends the search space, and does not increase the computation complexity. Based on this, it is applied to self-tuning of PID parameters and the results are satisfactory. Simulation results show that the algorithms are effective and the designed controller has excellent performance.
Keywords
control system synthesis; particle swarm optimisation; self-adjusting systems; three-term control; PID parameters self-tuning; controller design; modified particle swarm optimization; partial particle moving direction changing; Birds; Convergence; Educational institutions; Equations; Genetic algorithms; Intelligent control; Neural networks; Particle swarm optimization; Space technology; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2006 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
0-7803-9700-2
Electronic_ISBN
0-7803-9701-0
Type
conf
DOI
10.1109/INDIN.2006.275691
Filename
4053503
Link To Document