Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm |
( Vol-3,Issue-11,November 2016 ) OPEN ACCESS |
Author(s): |
Tomar R S, Qureshi M F, Shrivastava S K |
Keywords: |
Adaptive Neuro Fuzzy Inference System (ANFIS), Earthquake loads, Vibration control, Multi-objective optimization using MOGA, Ganetic algorithm (GA). |
Abstract: |
Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building. A multi-objective genetic algorithm (MOGA) was used to optimize the ANFIS+GA controller. Two MR dampers were used as multiple control devices and a scaled five-story building model was selected as an example structure. A fuzzy control algorithm was compared with the proposed ANFIS and ANFIS+GA controller. Adaptive neuro-fuzzy inference system (ANFIS) and Ganetic algorithm with several outputs was proposed. In case study, after numerical simulation, it has been verified that the ANFIS control algorithm can present better control performance compared to the fuzzy control algorithm in reducing both displacement and acceleration responses. |
![]() |
Paper Statistics: |
Cite this Article: |
Click here to get all Styles of Citation using DOI of the article. |
Advanced Engineering Research and Science