A Model Predictive Control Strategy for Adaptive Railway Bridges

The life expectancy of bridges depends mainly on the number and amplitude of load cycles experienced. This paper presents an optimal control approach for minimizing the magnitude of train induced vibrations of adaptive bridge structures. The control strategy comprises two parts. First, the a coordin...

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Bibliographic Details
Published in:IFAC-PapersOnLine 2023-01, Vol.56 (2), p.7686-7691
Main Authors: Dakova, Spasena, Zeller, Amelie, Reksowardojo, Arka P., Senatore, Gennaro, Böhm, Michael, Blandini, Lucio, Sawodny, Oliver
Format: Article
Language:English
Subjects:
Adaptive structures
Mechatronic systems
Modeling
System analysis and optimization
Vibration control
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Summary:The life expectancy of bridges depends mainly on the number and amplitude of load cycles experienced. This paper presents an optimal control approach for minimizing the magnitude of train induced vibrations of adaptive bridge structures. The control strategy comprises two parts. First, the a coordinate transformation is carried out for each time step at the equilibrium point to exclude the static displacement resulting from the train weight. Second, a model predictive controller (MPC) with state dependent input constraints is designed, that increases the damping of the structure and thus minimizes its vibration amplitudes by employing limited actuator forces. The presented control approach is tested by means of a simulation study. Results show that a 50% increase in damping is achieved through structural adaptation, which could significantly extend the life expectancy of bridge structures.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2023.10.1170