Active control of high rise building structures using fuzzy logic and genetic algorithms

Active tuned mass damper (ATMD) control systems for civil engineering structures have attracted considerable attention in recent years. This paper emphasizes on the combined application of genetic algorithms and fuzzy logic (GFLC) to design and optimize the different parameters of the ATMD control scheme for getting the best results in the reduction of the building response under earthquake excitations. Therefore, the proposed method has the advantages of both the fuzzy logic controller (FLC) and genetic algorithms (GAs) to handle the uncertain, as well non-linear phenomena. The building is modeled as a shear frame and the problem is solved in state space. The proposed method is applied to an 11-story realistic building, located in the city of Rasht, Islamic Republic of Iran. The results obtained from the proposed control scheme (GFLC) are compared with those obtained from the TMD, and linear quadratic regulator (LQR) control methods. It is found that integration of the GAs and FLC is highly effective in reduction of the seismically excited example building.