Topologically Protected Transport of Cargo in a Chiral Active Fluid Aided by Odd-Viscosity-Enhanced Depletion Interactions

2021 ◽  
Vol 126 (19) ◽  
Author(s):  
Qing Yang ◽  
Hongwei Zhu ◽  
Peng Liu ◽  
Rui Liu ◽  
Qingfan Shi ◽  
...  
2012 ◽  
Vol 116 (2) ◽  
pp. 1789-1797 ◽  
Author(s):  
Ssu-Wei Hu ◽  
Yu-Jane Sheng ◽  
Heng-Kwong Tsao

1997 ◽  
Vol 119 (1) ◽  
pp. 52-59 ◽  
Author(s):  
M. J. Panza ◽  
D. P. McGuire ◽  
P. J. Jones

An integrated mathematical model for the dynamics, actuation, and control of an active fluid/elastomeric tuned vibration isolator in a two mass system is presented. The derivation is based on the application of physical principles for mechanics, fluid continuity, and electromagnetic circuits. Improvement of the passive isolator performance is obtained with a feedback scheme consisting of a frequency shaped notch compensator in series with integral control of output acceleration and combined with proportional control of the fluid pressure in the isolator. The control is applied via an electromagnetic actuator for excitation of the fluid in the track connecting the two pressure chambers of the isolator. Closed loop system equations are transformed to a nondimensional state space representation and a key dimensionless parameter for isolator-actuator interaction is defined. A numerical example is presented to show the effect of actuator parameter selection on system damping, the performance improvement of the active over the passive isolator, the robustness of the control scheme to parameter variation, and the electrical power requirements for the actuator.


2007 ◽  
Vol 362 (2-3) ◽  
pp. 234-238 ◽  
Author(s):  
Haixia Gao ◽  
Changming Xiao ◽  
Haishan Ke

2010 ◽  
Vol 11 (9) ◽  
pp. 2460-2464 ◽  
Author(s):  
Anil Khanal ◽  
Yuguo Cui ◽  
Liang Zhang ◽  
Robert Pelton ◽  
Yuanyuan Ren ◽  
...  

Author(s):  
N.N. MAKHOVA ◽  
A.Yu. BABIN

The article proposes a method for controlling an active fluid-film bearing, based on the use of a classical PID controller in conjunction with an artificial neural network. The regulator coefficients are not constant numbers, but are chosen by the network depending on the state of the controlled system. To implement such a control scheme, the coefficients are selected using a particle swarm optimization algorithm, which constitutes the training dataset, and an ANN is trained using the dataset. The controlled object is represented with a model operating in the Simulink environment.


Langmuir ◽  
2016 ◽  
Vol 32 (5) ◽  
pp. 1233-1240 ◽  
Author(s):  
Marlous Kamp ◽  
Michiel Hermes ◽  
Carlos M. van Kats ◽  
Daniela J. Kraft ◽  
Willem K. Kegel ◽  
...  

Soft Matter ◽  
2011 ◽  
Vol 7 (7) ◽  
pp. 3092-3099 ◽  
Author(s):  
Sen Hou ◽  
Natalia Ziebacz ◽  
Tomasz Kalwarczyk ◽  
Tomasz S. Kaminski ◽  
Stefan A. Wieczorek ◽  
...  

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