Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller

This paper deals with active free vibrations control of smart composite beams using particle-swarm optimized self-tuning fuzzy logic controller. In order to improve the performance and robustness of the fuzzy logic controller, this paper proposes integration of self-tuning method, where scaling fact...

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Bibliographic Details
Published in:Journal of sound and vibration 2014-10, Vol.333 (21), p.5244-5268
Main Authors: Zorić, Nemanja D., Simonović, Aleksandar M., Mitrović, Zoran S., Stupar, Slobodan N., Obradović, Aleksandar M., Lukić, Nebojša S.
Format: Article
Language:English
Subjects:
Active control
Algorithms
Composite beams
Free vibration
Fuzzy control
Fuzzy logic
Mathematical models
Scaling factors
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Summary:This paper deals with active free vibrations control of smart composite beams using particle-swarm optimized self-tuning fuzzy logic controller. In order to improve the performance and robustness of the fuzzy logic controller, this paper proposes integration of self-tuning method, where scaling factors of the input variables in the fuzzy logic controller are adjusted via peak observer, with optimization of membership functions using the particle swarm optimization algorithm. The Mamdani and zero-order Takagi–Sugeno–Kang fuzzy inference methods are employed. In order to overcome stability problem, at the same time keeping advantages of the proposed self-tuning fuzzy logic controller, this controller is combined with the LQR making composite controller. Several numerical studies are provided for the cantilever composite beam for both single mode and multimodal cases. In the multimodal case, a large-scale system is decomposed into smaller subsystems in a parallel structure. In order to represent the efficiency of the proposed controller, obtained results are compared with the corresponding results in the cases of the optimized fuzzy logic controllers with constant scaling factors and linear quadratic regulator. [Display omitted] •Active control of free vibration of smart beam using self-tuning fuzzy logic controller.•Fuzzy logic controller with on-line scaling factors.•Optimization of membership functions using particle swarm optimization algorithm.•Mamdani and zero-order Takagi–Sugeno–Kang inference methods.
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2014.06.001