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Détail de l'auteur
Auteur Tzu-Kang Lin
Documents disponibles écrits par cet auteur
Affiner la rechercheRenovated controller designed by genetic algorithms / Tzu-Kang Lin in Earthquake engineering structural dynamics, Vol. 38 N°4 (Avril 2009)
[article]
in Earthquake engineering structural dynamics > Vol. 38 N°4 (Avril 2009) . - pp. 457-475
Titre : Renovated controller designed by genetic algorithms Type de document : texte imprimé Auteurs : Tzu-Kang Lin, Auteur ; Yi-Lun Chu, Auteur ; Kuo-Chun Chang, Auteur Article en page(s) : pp. 457-475 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Genetic algorithms; Smart structural control; Optical fiber sensors Index. décimale : 624.1 Infrastructures.Ouvrages en terre. Fondations. Tunnels Résumé : A novel smart control system based on genetic algorithms (GAs) is proposed in this paper. The system is comprised of three parts: the fiber Bragg grating (FBG) sensor-based sensing network for structural health monitoring, the GA-based location optimizer for sensor arrangement, and the GA-based controller for vibration mitigation under external excitation. To evaluate the performance of the proposed system, an eight-story steel structure was designed specifically to represent a structure with large degrees of freedom. In total 16 FBG sensors were deployed on the structure to implement the concept of a reliable sensing network, and to allow the structure to be monitored precisely under any loading. The advantage of applying a large amount of information from the sensing system is proven theoretically by the GA-based location optimizer. This result greatly supports the recent tendency of distributing sensors around the structure. Two intuitive GA-based controllers are then proposed and demonstrated numerically. It is shown that the structure can be controlled more effectively by the proposed GA-strain controller than by the GA-acceleration controller, which represents the traditional control method. A shaking table test was carried out to examine the entire system. Experimental verification has demonstrated the feasibility of using this system in practice. ISSN : 0098-8847 En ligne : http://www3.interscience.wiley.com/journal/121502317/abstract [article] Renovated controller designed by genetic algorithms [texte imprimé] / Tzu-Kang Lin, Auteur ; Yi-Lun Chu, Auteur ; Kuo-Chun Chang, Auteur . - pp. 457-475.
Génie Civil
Langues : Anglais (eng)
in Earthquake engineering structural dynamics > Vol. 38 N°4 (Avril 2009) . - pp. 457-475
Mots-clés : Genetic algorithms; Smart structural control; Optical fiber sensors Index. décimale : 624.1 Infrastructures.Ouvrages en terre. Fondations. Tunnels Résumé : A novel smart control system based on genetic algorithms (GAs) is proposed in this paper. The system is comprised of three parts: the fiber Bragg grating (FBG) sensor-based sensing network for structural health monitoring, the GA-based location optimizer for sensor arrangement, and the GA-based controller for vibration mitigation under external excitation. To evaluate the performance of the proposed system, an eight-story steel structure was designed specifically to represent a structure with large degrees of freedom. In total 16 FBG sensors were deployed on the structure to implement the concept of a reliable sensing network, and to allow the structure to be monitored precisely under any loading. The advantage of applying a large amount of information from the sensing system is proven theoretically by the GA-based location optimizer. This result greatly supports the recent tendency of distributing sensors around the structure. Two intuitive GA-based controllers are then proposed and demonstrated numerically. It is shown that the structure can be controlled more effectively by the proposed GA-strain controller than by the GA-acceleration controller, which represents the traditional control method. A shaking table test was carried out to examine the entire system. Experimental verification has demonstrated the feasibility of using this system in practice. ISSN : 0098-8847 En ligne : http://www3.interscience.wiley.com/journal/121502317/abstract