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Abstract
The paper presents usage of a Particle Swarm Optimization [1] based algorithm for spectral-based modal parameters identification. The main algorithm consists of two groups of swarms, namely, scouts and helpers. For the first group additional penalizing process is provided to force separation of scouting swarms in frequency space. The swarms have an ability to communicate with each other. At first stage, each swarm focuses on a different natural frequencies dominating in the signal. Next, helper swarms are associated, one by one, with scouting swarms focus on frequency spaces provided by scouting swarms in order to achieve the best representation of a given signal in the frequency domain. At this stage amplitudes and damping coefficients are identified as well. The results from all helpers are then combined to create final identification results.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku o zasięgu krajowym
- Title of issue:
- W Projektowanie mechatroniczne : zagadnienia wybrane strony 49 - 58
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Orzechowski A., Galewski M.: SPECTRAL-BASED MODAL PARAMETERS IDENTIFICATION WITH MULTIPLE PARTICLE SWARMS OPTIMIZATION// Projektowanie mechatroniczne. Zagadnienia wybrane/ ed. M. Mańka Kraków: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, 2017, s.49-58
- Verified by:
- Gdańsk University of Technology
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