Online self‐tuning mechanism for direct adaptive control of tall building. (15th December 2017)

• Record Type: Journal Article
• Authors: Hosseini, Amin; Taghikhany, Touraj
• Is Part Of: International journal of adaptive control and signal processing. Volume 32:Number 3(2018)
• Page Start: 424
• Page End: 446
• Publication Date: 2017-12-15
• Subjects: adaptive control -- ANFIS -- fuzzy inference system -- MR damper -- SAC -- semiactive control; Adaptive control systems -- Periodicals; Adaptive signal processing -- Periodicals; 629.836
• DOI: 10.1002/acs.2850
• Languages: English
• ISSNs: 0890-6327

Abstract

Summary: The simple adaptive control (SAC) method is known as a remarkable solution to reduce the negative influence of different uncertainties on active control of building structures during an earthquake. The design parameters of this direct adaptive control algorithm are determined after a large number of sensitivity analyses. Furthermore, the selected parameters will not necessarily lead a controller to the optimum performance of the structure. Herein, an innovative online self‐tuning method is firstly introduced to improve the SAC method and cancel out excessive sensitivity analysis. Accordingly, a fuzzy inference system is designed to select the appropriate SAC method, adjusting parameters online instead of using fixed parameters. To show the efficiency of the introduced method, a 20‐story steel building structure equipped with magnetorheological dampers in each story is considered as a benchmark control. The performance of the designed control system is evaluated in different condition of base excitation with and without uncertainty in the model of the proposed structure. The results from the numerical simulations show that the introduced method has better performance than the SAC method with fixed adjusting parameters. The predominance of the method becomes clearer when an input ground motion to the control system has completely different characteristics than the initial designed seismic excitation.