Application of MR damper in structural control using ANFIS method

Protection of civil engineering structures from excessive vibration due to uncontrollable events such as earthquake has increasingly been of importance for the purpose of maintaining structural integrity and serviceability. This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for reduction of environmentally induced vibration in multiple-degree-of-freedom (MDOF) building structure with MR damper. The LQG control method was used to obtain the training data for the ANFIS controller. A force-feedback control scheme was employed in order to overcome the difficulty of commanding the MR damper to output an arbitrary force. In this approach, force-feedback loops were used to induce a MR damper to produce approximately a desired control force. To establish a context for assessing the effectiveness of the semi-active control scheme, responses to earthquake excitation are compared with passive system response. Simulation results show that the performance of the developed control scheme in structural vibration suppression is satisfactory. © 2007 Elsevier Ltd. All rights reserved.