Brain emotional learning based control of a SDOF structural system with a MR damper

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

César, MB (Author) Other; Gonçalves, J (Author) Other; Coelho, J (Author) Other; Rui Carneiro de Barros (Author) FEUP

Conference proceedings International

Title: Lecture Notes in Electrical Engineering

Pages: 547-557

12th Portuguese Conference on Automatic Control, CONTROLO 2016

14 September 2017 through 16 September 2017

Indexing

Scopus - 7 Citations

Other information

Authenticus ID: P-00K-WJJ

DOI: 10.1007/978-3-319-43671-5_46

Abstract (EN): 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. © Springer International Publishing Switzerland 2017.

Language: English

Type (Professor's evaluation): Scientific