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Optimal Control via Integrating the Dynamics of Magnetorheological Dampers and Structures | ||
| Civil Engineering Infrastructures Journal | ||
| مقاله 10، دوره 48، شماره 2، اسفند 2015، صفحه 345-357 اصل مقاله (1.06 M) | ||
| نوع مقاله: Research Papers | ||
| شناسه دیجیتال (DOI): 10.7508/ceij.2015.02.009 | ||
| نویسندگان | ||
| Amir Fayezioghani1؛ Hamid Moharrami* 2 | ||
| 1M.Sc, Department of Structural Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Iran | ||
| 2Associate Professor, Department of Structural Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Iran. | ||
| چکیده | ||
| Magnetorheological (MR) dampers have the advantage of being tuned by low voltages. This has attracted many researchers to develop semi-active control of structures in theory and practice. Most of the control strategies first obtain the desired forces of dampers without taking their dynamics into consideration and then determine the input voltages according to those forces. As a result, these strategies may face situations where the desired forces cannot be produced by the dampers. In this article, by integrating the equations of the dynamics of MR dampers and the structural motion, and solving them in one set, a more concise semi-active optimal control strategy is presented, so as to bypass the aforementioned drawback. Next, a strong database that can be utilized to form a controller for more realistic implementations is produced. As an illustrative example, the optimal voltages of the dampers of a six-storey shear building are obtained under the scaled El-Centro earthquake and used to train a set of integrated analysis-adaptive neuro-fuzzy inference systems (ANFISs) as a controller. Results show that the overall performance of the proposed strategy is higher than most of the other conventional methods. | ||
| کلیدواژهها | ||
| ANFIS؛ Earthquake excitation؛ MR Damper؛ Optimal control؛ Semi-Active Control | ||
| مراجع | ||
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