Fuzzy Control Of Earthquake-Excited Building Structures Using Magnetorheological (MR) Dampers

MR dampers are a new class of semi-active control devices which have many attractive features, equipping MR dampers can reduce the seismic response of structures effectively. The dampers dissipate energy from the system. However, there is still no control theory that is well-suited for such behavior. Some former research revealed that the smart control algorithms are promising strategies, thereby, the research presented in this dissertation mainly discuss the fuzzy control of the MR dampers.Fuzzy control has been applied as an effective control method in various fields, including vibration control of structures. The advantage of this approach is its inherent robustness and ability to handle nonlinearities and uncertainties in structure behavior and loading. In this thesis, a GA-Optimized fuzzy control is proposed, multi-objective genetic algorithm NSGA-II is used to find optimal rules for the fuzzy logic controller. To verify the proposed strategy, two numerical models, a 3-story building equipped a MR damper between the ground and the first floor and a 2-story asymmetric building are investigated, the fuzzy logic controller is compared with passive and Clipped-LQR control. It is shown that the optimized fuzzy controller has good performance under different earthquake excitations, fuzzy control system is significantly better than passive control system.