Brain emotional learning based control of a SDOF structural system with a MR damper
Data(s) |
10/10/2016
10/10/2016
2016
|
---|---|
Resumo |
This paper describes the application of a Brain Emotional Learning (BEL) controller to improve the response of a SDOF structural system under an earthquake excitation using a magnetorheological (MR) damper. The main goal is to study the performance of a BEL based semi-active control system to generate the control signal for a MR damper. The proposed approach consists of a two controllers: a primary controller based on a BEL algorithm that determines the desired damping force from the system response and a secondary controller that modifies the input current to the MR damper to generate a reference damping force. A parametric model of the damper is used to predict the damping force based on the piston motion and also the current input. A Simulink model of the structural system is developed to analyze the effectiveness of the semi-active controller. Finally, the numerical results are presented and discussed. |
Identificador |
Braz-César, M.T.; Gonçalves, José; Coelho, J.P.; De Barros, R.C. (2016) - Brain emotional learning based control of a SDOF structural system with a MR damper. In 12th Portuguese Conference on Automatic Control. Guimarães |
Idioma(s) |
eng |
Relação |
http://link.springer.com/chapter/10.1007/978-3-319-43671-5_46 |
Direitos |
restrictedAccess http://creativecommons.org/licenses/by/4.0/ |
Palavras-Chave | #Brain emocional learning #MR damper #Semi-active control |
Tipo |
conferenceObject |