A fuzzy logic controller for optimal structural control using MR dampers and particle swarm optimization

• Main Authors: Masoud Zabihi Samani, Mohammad Ghanooni-Bagha
• Format: Article
• Language: English
• Published: JVE International 2017-05-01
• Series: Journal of Vibroengineering
• Subjects: particle swarm optimization (PSO); magnetorheological damper; fuzzy logic control; semi-active control; structural control
• Online Access: https://www.jvejournals.com/article/17802

Control devices can be used to dissipate the energy and attenuate undesirable vibration on engineering structures. Recently, to mitigate the response of structures during the earthquakes and high intensity winds, semi active control has been widely used. MR dampers are semi active control devices that are managed by sending external voltage supply. A new adaptive fuzzy logic controller (FLC) is introduced to manage MR damper intelligently. Furthermore, a novel evolutionary algorithm of particle swarm optimization (PSO) was used to optimize the placement and the number of MR dampers and sensors in the sense of minimum resultant vibration magnitude. Numerical efforts were considered to validate the efficiency of proposed FLC. In designer’s point of view, the proposed PSO-FLC controller can find the optimal solutions during a reasonable number of iterations. Finally, results demonstrate that proposed PSO-FLC controller could find the appropriate control force and attenuates the excessive responses in several buildings.