A shuffled frog-leaping algorithm based mixed-sensitivity H∞ control of a seismically excited structural building using MR dampers. (July 2018)

• Record Type: Journal Article
• Authors: Lin, Xiufang; Chen, Shumei; Huang, Guorong
• Is Part Of: Journal of vibration and control. Volume 24:Number 13(2018)
• Page Start: 2832
• Page End: 2852
• Publication Date: 2018-07
• Subjects: Optimization -- shuffled frog-leaping algorithm -- H∞ control -- mixed sensitivity -- MR dampers -- adaptive-network-based fuzzy inference system -- structural vibration -- semi-active control; Vibration -- Periodicals; Damping (Mechanics) -- Periodicals; 620.3
• DOI: 10.1177/1077546317695462
• Languages: English
• ISSNs: 1077-5463

Abstract

An intelligent robust controller, which combines a shuffled frog-leaping algorithm (SFLA) and an H∞ control strategy, is designed for a semi-active control system with magnetorheological (MR) dampers to reduce seismic responses of structures. Generally, the performance of mixed-sensitivity H∞ (MSH) control highly depends on expert experience in selecting the parameters of the weighting functions. In this study, as a recently-developed heuristic approach, a multi-objective SFLA with constraints is adopted to search for the optimal weighting functions. In the proposed semi-active control, firstly, based on the Bouc–Wen model, the forward dynamic characteristics of the MR damper are investigated through a series of tensile and compression experiments. Secondly, the MR damper inverse model is developed with an adaptive-network-based fuzzy inference system (ANFIS) technique. Finally, the SFLA-optimized MSH control approach integrated with the ANFIS inverse model is used to suppress the structural vibration. The simulation results for a three-story building model equipped with an MR damper verify that the proposed semi-active control method outperforms fuzzy control and two passive control methods. Besides, with the proposed strategy, the changes in structural parameters and earthquake excitations can be satisfactorily dealt with.