scholarly journals Reduced-order Modeling Method for Longitudinal Vibration Control of Propulsion Shafting

IERI Procedia ◽  
2012 ◽  
Vol 1 ◽  
pp. 73-80 ◽  
Author(s):  
Zhang Gan-bo ◽  
Zhao Yao
Keyword(s):  
Vibration Control ◽  
Longitudinal Vibration ◽  
Reduced Order Modeling ◽  
Modeling Method ◽  
Reduced Order

Motion and Vibration Control of a Flexible Transportation System

2003 ◽  
Author(s):  
Keisuke Takemoto ◽  
Masato Mori ◽  
Toru Watanabe ◽  
Kazuto Seto
Keyword(s):  
Vibration Control ◽  
Control Method ◽  
Transportation System ◽  
Modeling Method ◽  
Vibration Modes ◽  
Simulation Experiments ◽  
Reduced Order ◽  
Control Effectiveness ◽  
Modeling Approach ◽  
And Control

This paper shows a lumped modeling approach and a motion and vibration control method for a transportation system. The modeling approach is made on the premise that motion influences vibration, but that vibration doesn’t influence motion. To obtain well suppressed vibration and a robustness for the system, LQI control is adopted. It is shown that this theory has superior robustness for in motion and vibration control with variations of the parameters [1]. The control effectiveness is demonstrated through simulation experiments. The vibration modes that occur accordingly become flexible might cause a spillover instability problem. Thus, the purpose of the research is to control such vibration and motion using the modeling method presented by Seto, called the “reduced order physical modeling method” [2]. Computer simulation and control experiments are carried out and the effectiveness of the procedures presented is investigated.

Nonlinear Multi-Fidelity Reduced Order Modeling Method using Manifold Alignment

2021 ◽  
Author(s):  
Kenneth Decker ◽  
Nikhil Iyengar ◽  
Christian Perron ◽  
Dushhyanth Rajaram ◽  
Dimitri Mavris
Keyword(s):  
Reduced Order Modeling ◽  
Modeling Method ◽  
Reduced Order ◽  
Manifold Alignment
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