Fuzzy control of 76-story wind-excited benchmark problem

This paper focuses on the benchmark problem application regarding the vibration control of tall buildings under wind excitation. The building considered is a 76-story 306m concrete office tower proposed for the city of Melbourne, Australia. The adopted control scheme consists of an active tuned mass damper where the control action is achieved by a fuzzy logic controller. In this paper, an adaptive fuzzy neural network method is employed to extract the fuzzy rule based on the data obtained from the performance of the system under a state feedback controller. The fuzzy controller is designed using the displacement and the velocity of floor 76 as the two input variables, and active control force as output variable. The results of the simulation show the ability of the fuzzy controller to reduce the displacement and acceleration responses of floor 75 by 32% and 57% respectively. Also the results show that the adopted fuzzy controller has great potential in active structural control.