Structural Damage Control with Interval Type-2 Fuzzy Logic Controller

Abstract

In this study, with designing of an Interval Type-2 Fuzzy Logic Controller (IT2FLC), the ability of this system to control the uncertainties governing the structure has been investigated. One of the main shortcomings of fuzzy systems is to consider the uncertainties in the fuzzy rule base. IT2FLS, which is in fact a development of fuzzy systems, has the ability to handle this problem and reducing the uncertainties surrounding it. In order to evaluate the performance of the proposed controller, building with the Magneto-rheological (MR) dampers have been used as benchmark. The results of the analysis of the structures in the proposed controller, with the uncontrolled structure, the controlled structures equipped with the type-1 fuzzy controller (FLC Type-1), as well as the controlled structures under the Genetic algorithm-Fuzzy Logic Controller (GA-FLC), have been compared and analyzed. Numerical results showed that IT2FLC is more effective in reducing the uncertainties governing the structure compared to other controllers, and the structural response will be optimized in different loading conditions. Using the proposed controller will reduce damage in the structure by 5 to 15 percent more than other controllers. In addition, the use of IT2FLC has reduced the displacement and acceleration time history responses of the structure compared with FLC-Type-1. The proposed controller has been able to reduce the maximum response of the different floors of structure by 10 to 30 percent compared to other controllers. Dynamic analysis of IDA method shows that at different load levels, the performance of IT2FLC will be more optimal than FLC-Type-1.