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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.23 No.1
- 발행연도
- 2019.1
- 수록면
- 1 - 14 (14page)
이용수
초록· 키워드
오류제보하기
Control algorithms are the most important aspects in successful control of structures against earthquakes. In recent years, intelligent control methods rather than classical control methods have been more considered by researchers, due to some specific capabilities such as handling nonlinear and complex systems, adaptability, and robustness to errors and uncertainties. However, due to lack of learning ability of fuzzy controller, it is used in combination with a genetic algorithm, which in turn suffers from some problems like premature convergence around an incorrect target. Therefore in this research, the introduction and design of the Fuzzy Cooperative Coevolution (Fuzzy CoCo) controller and Adaptive Neural-Fuzzy Inference System (ANFIS) have been innovatively presented for semi-active seismic control. In this research, in order to improve the seismic behavior of structures, a semi-active control of building using Magneto Rheological (MR) damper is proposed to determine input voltage of Magneto Rheological (MR) dampers using ANFIS and Fuzzy CoCo. Genetic Algorithm (GA) is used to optimize the performance of controllers. In this paper, the design of controllers is based on the reduction of the Park-Ang damage index. In order to assess the effectiveness of the designed control system, its function is numerically studied on a 9-story benchmark building, and is compared to those of a Wavelet Neural Network (WNN), fuzzy logic controller optimized by genetic algorithm (GAFLC), Linear Quadratic Gaussian (LQG) and Clipped Optimal Control (COC) systems in terms of seismic performance. The results showed desirable performance of the ANFIS and Fuzzy CoCo controllers in considerably reducing the structure responses under different earthquakes; for instance ANFIS and Fuzzy CoCo controllers showed respectively 38 and 46% reductions in peak inter-story drift (J1) compared to the LQG controller; 30 and 39% reductions in J1 compared to the COC controller and 3 and 16% reductions in J1 compared to the GAFLC controller. When compared to other controllers, one can conclude that Fuzzy CoCo controller performs better.
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참고문헌 (30)
참고문헌 신청
A. S. Ahlawat / 2004 / Multiobjective Optimal Fuzzy Logic Control System for Response Control of Wind-Excited Tall Buildings / Journal of Engineering Mechanics 130(4):524~530
A. S. Ahlawat / 2004 / Multiobjective Optimal Fuzzy Logic Controller Driven Active and Hybrid Control Systems for Seismically Excited Nonlinear Buildings / Journal of Engineering Mechanics 130(4):416~423
Ali, S. F. / 2010 / Semi-active control of earthquake induced vibrations in structures using MR dampers: algorithm development, experimental verification and benchmark applications
Ali, S. F. / 2006 / Benchmark control problem for highway bridge based on FLC / Proceedings of the Structures Congress 2006: Structural Engineering and Public Safety
Bathaei, A. / 2017 / Semi-active seismic control of an 11-DOF building model with TMD+ MR damper using type-1 and-2 fuzzy algorithms / J. Vib. Control
A. S. Ahlawat / 2004 / Multiobjective Optimal Fuzzy Logic Controller Driven Active and Hybrid Control Systems for Seismically Excited Nonlinear Buildings / Journal of Engineering Mechanics 130(4):416~423
Ali, S. F. / 2010 / Semi-active control of earthquake induced vibrations in structures using MR dampers: algorithm development, experimental verification and benchmark applications
Ali, S. F. / 2006 / Benchmark control problem for highway bridge based on FLC / Proceedings of the Structures Congress 2006: Structural Engineering and Public Safety
Bathaei, A. / 2017 / Semi-active seismic control of an 11-DOF building model with TMD+ MR damper using type-1 and-2 fuzzy algorithms / J. Vib. Control
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