DocumentCode :
2912251
Title :
Application of Eitelberg´s method for PI controllers via particle swarm optimization
Author :
Puangdownreong, Deacha ; Suwannarongsri, Supaporn
Author_Institution :
Dept. of Electr. Eng., South-East Asia Univ., Bangkok
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
566
Lastpage :
570
Abstract :
In 1987, Eitelberg introduced a useful method by adjusting the input weighting factors to recover system response when a direct tuning of the PI(D)´s parameters was prohibited from adjustment. Because of minimum interruption to an original control system, the Eitelberg´s method has been extended to various applications. From previous applications, it was found that the P-element input weighting factor distinctly effects on the system responses. In this paper, the input weighting factor optimization for P-element of PI controllers via the particle swarm optimization (PSO) method is presented. The proposed optimization method is tested against two benchmark-controlled systems. As the simulation results, it was found that the P-element input weighting factor can be appropriated optimized by the PSO-based method and the satisfactory responses can be recovered when the parameter variation occurred.
Keywords :
PI control; control system analysis; particle swarm optimisation; PI controllers; benchmark-controlled systems; input weighting factors; optimization method; particle swarm optimization; system response; Artificial intelligence; Asia; Automatic control; Control systems; Electrical equipment industry; Industrial control; Optimization methods; Particle swarm optimization; Pi control; Robotics and automation; PI controller; input weighting factor; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795580
Filename :
4795580
Link To Document :
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