scholarly journals Modal Control of Vibrations of a Machine Structure by Using Electromagnetic Exciters

2009 ◽  
Vol 3 (3) ◽  
pp. 309-317
Author(s):  
Tetsuo SATO
Keyword(s):  
Modal Control ◽  
Machine Structure

Active Modal Control Applying in a 2DOF Structure

2019 ◽  
Author(s):  
Edson Hideki Koroishi ◽  
Joana Pereira Repinaldo ◽  
Fabian Andres Lara-Molina ◽  
Aldemir Ap Cavalini Jr ◽  
Valder Steffen Jr
Keyword(s):  
Modal Control

Simulation of modal control liquid crystal lens with step sheet resistance distribution

2020 ◽  
Vol 35 (9) ◽  
pp. 908-913
Author(s):  
Wei-xing GONG ◽  
◽  
Tao YU ◽  
Wei-zhi WANG ◽  
Jia-lun ZHANG ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Sheet Resistance ◽  
Modal Control ◽  
Liquid Crystal Lens

scholarly journals Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms

Materials ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 2998
Author(s):  
Xinyong Zhang ◽  
Liwei Sun
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Prediction Model ◽  
Bayesian Regularization ◽  
Backpropagation Neural Network ◽  
Swarm Optimization ◽  
Modal Frequency ◽  
Supporting Structure ◽  
First Order ◽  
Machine Structure

Fit of the highly nonlinear functional relationship between input variables and output response is important and challenging for the optical machine structure optimization design process. The backpropagation neural network method based on particle swarm optimization and Bayesian regularization algorithms (called BMPB) is proposed to solve this problem. A prediction model of the mass and first-order modal frequency of the supporting structure is developed using the supporting structure as an example. The first-order modal frequency is used as the constraint condition to optimize the lightweight design of the supporting structure’s mass. Results show that the prediction model has more than 99% accuracy in predicting the mass and the first-order modal frequency of the supporting structure, and converges quickly in the supporting structure’s mass-optimization process. The supporting structure results demonstrate the advantages of the method proposed in the article in terms of high accuracy and efficiency. The study in this paper provides an effective method for the optimized design of optical machine structures.

WPT-based modal control on distributed structures with MRF-04K damper

2011 ◽  
Vol 17 (6) ◽  
pp. 397-403
Author(s):  
Wei Lin ◽  
Zhongxian Li ◽  
Genming Zhang ◽  
Pengyun Huang
Keyword(s):  
Modal Control ◽  
Distributed Structures

Mode Oriented Design Viewpoint for Linear, Lumped-Parameter Multivariable Control Systems

1968 ◽  
Vol 90 (2) ◽  
pp. 222-230 ◽  
Author(s):  
Y. Takahashi ◽  
H. Thal-Larsen ◽  
E. Goldenberg ◽  
W. V. Loscutoff ◽  
P. R. Ragetly
Keyword(s):  
Control Systems ◽  
Multivariable Control ◽  
Multivariable Systems ◽  
Modal Control ◽  
Multivariable Control Systems ◽  
Lumped Parameter

There are multivariable systems which have free motions dominated by a limited number of clearly separable modes. In some cases it is possible to specifically control these modes, thereby improving overall control of the system. This paper is a discussion of when and how modal control may be applied.

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