Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Figure Legend: Neural network based control of MR damper on vibrating shear frame structure.

Journal Reference

Structural Control and Health Monitoring, Volume 21, Issue 2, pages 225–247,  2014.

Felix Weber1,*, Subrata Bhowmik1,2  , Jan Høgsberg2

1. Empa, Swiss Federal Laboratories for Materials Science and Technology, Structural Engineering Research Laboratory, Dübendorf, Switzerland and

2. Department of Mechanical Engineering, Technical University of Denmark, Lyngby, Denmark.

 

Abstract

This paper validates numerically and experimentally a new neural network-based real-time force tracking scheme for magnetorheological damper on a five-storey shear frame with magnetorheological dampers. The inverse model is trained with absolute values of measured velocity and force because the targeted current is a positive quantity. The validation shows accurate results except of small current spikes when the desired force is in the vicinity of the residual magnetorheological dampers force. In the closed-loop, higher frequency components in the current are triggered by the transition of the actual magnetorheological dampers force from the pre-yield to the post-yield region. A control-oriented approach is presented to compensate for these drawbacks. The resulting control force tracking scheme is validated for the emulation of viscous damping, clipped viscous damping with negative stiffness, and friction damping with negative stiffness. The tests indicate that the proposed tracking scheme works better when the frequency content of the estimated current is close to that of the training data. Copyright © 2013 John Wiley & Sons, Ltd.

Copyright © 2013 John Wiley & Sons, Ltd.

 Go To Journal

 

 

 

 

 

 

 

 

 

Check Also

Fatigue Crack Growth Behavior of WAAM Steel Plates: Experimental Analysis and Comparative Study - Advances in Engineering

Fatigue Crack Growth Behavior of WAAM Steel Plates: Experimental Analysis and Comparative Study