Optimum design of fuzzy controller using hybrid ant lion optimizer and Jaya algorithm

Abstract

Fuzzy logic controller is the most common and versatile control algorithm in the structural motion control. In most cases, the formulation of the fuzzy controller is based on the human knowledge and expert so the membership functions and the rule base are formulated by trials and errors. In recent years, there is an increasing interest to optimize the fuzzy logic controller with different metaheuristics and nature inspired approaches. This paper focuses on the optimization of a fuzzy controller applied to the seismically excited nonlinear buildings. In the majority of cases, this problem is formulated based on the linear behavior of the structure, however in this paper, objective functions and the performance criteria are considered with respect to the nonlinear responses of the structures. The optimization algorithm is based on the implementation of ant lion optimizer and Jaya algorithm as a hybrid method. The new method is utilized to design a fuzzy controller for two benchmark buildings with nonlinear behavior. The performance of the hybrid method is compared with various classical and advanced optimization algorithms.