Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers

A novel semi‐active control algorithm is developed and numerically evaluated for the suppression of undesirable structural vibrations. The mechanical energy of the vibrating structure is considered as the primary variable influencing the control action. This intuitive strategy is proposed to realize...

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Bibliographic Details
Published in:Computer-aided civil and infrastructure engineering Vol. 34; no. 11; pp. 1010 - 1025
Main Authors: Zelleke, Daniel H., Matsagar, Vasant A.
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc 01.11.2019
Subjects:
Active control
Active damping
Algorithms
Benchmarks
Business competition
Control algorithms
Control theory
Numerical prediction
Predictive control
Robustness (mathematics)
Strategy
Vibration control
Vibration isolators
Wind effects
ISSN:1093-9687, 1467-8667
Online Access:Get full text
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Summary:A novel semi‐active control algorithm is developed and numerically evaluated for the suppression of undesirable structural vibrations. The mechanical energy of the vibrating structure is considered as the primary variable influencing the control action. This intuitive strategy is proposed to realize improved control of structural vibrations. The numerical study conducted reveals that the proposed energy‐based predictive (EBP) algorithm can be implemented on vibration control applications. The energy imparted to the structure is also reduced due to the proposed algorithm. The influence of the parameters of the proposed semi‐active tuned mass damper is studied. Further, the application of the proposed strategy on a realistic structure is numerically demonstrated by implementing the algorithm for the wind response control of a 76‐story benchmark building. The results show that the EBP algorithm is a competitive semi‐active strategy. The robustness of the strategy is also evaluated considering uncertainties in the properties of the benchmark building.
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ISSN:1093-9687
1467-8667
DOI:10.1111/mice.12474