DocumentCode :
2331856
Title :
Artificial immune network model based controller for vibration suppression of flexible structures
Author :
Salleh, Salihatun Md ; Tokhi, M. Osman ; Toha, Siti Fauziah
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents a model based controller with immune inspired algorithm to suppress flexible plate vibration. Artificial immune network (AiNet) algorithm with real-valued random initialisation of antibodies is considered to optimise the system model for use in active vibration controller development in a single-input and multi-output (SIMO) configuration. The AiNet model based controller thus developed shows the capability of the approach with relatively better accuracy in comparison to using real-coded genetic algorithm. The simulation results also reveal improvement in vibration reduction and less computational time.
Keywords :
artificial immune systems; flexible structures; genetic algorithms; plates (structures); vibration control; AiNet algorithm; SIMO configuration; active vibration controller; antibody; artificial immune network model based controller; flexible plate vibration; flexible structure; immune inspired algorithm; real-coded genetic algorithm; real-valued random initialisation; single-input and multi-output configuration; vibration reduction; vibration suppression; Automatic voltage control; Computational modeling; Detectors; Immune system; Mathematical model; Transfer functions; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586371
Filename :
5586371
Link To Document :
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