Analyzing Dynamic Interaction of Control Loops in the Time Domain

2002 ◽  
Vol 41 (18) ◽  
pp. 4585-4590 ◽  
Author(s):  
F. Michiel Meeuse ◽  
Adrie E. M. Huesman
Keyword(s):  
Time Domain ◽  
Dynamic Interaction ◽  
Control Loops ◽  
The Time Domain

scholarly journals Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1053
Author(s):  
Shaokai Wang ◽  
Jinxin Hu ◽  
Changqi Li ◽  
Jiubin Tan
Keyword(s):  
Time Domain ◽  
Degrees Of Freedom ◽  
Relative Displacement ◽  
Dynamic Interaction ◽  
Dual Stage ◽  
Actuator System ◽  
The Time Domain ◽  
Two Stages ◽  
Contact Position ◽  
Dual Stage Actuator

Dynamic interaction seriously limits the overall performance of a Dual-Stage Actuator (DSA) system. This paper aims to identify and compensate for the dynamic interaction in a non-contact DSA system. The effects of the interaction in the non-contact DSA system are initially classified as non-contact position-dependent disturbance forces (PDDFs) and velocity-dependent disturbance forces (VDDFs). The PDDFs in the three degrees of freedom (DoFs) motion space between the two stages of the DSA system are directly identified in the time domain, and VDDFs are indirectly identified in the form of damping values in frequency domains. The feedforward networks of the force are subsequently applied to compensate the PDDFs and VDDFs, which are indexed with relative displacement and velocity, respectively. Experiments are finally conducted to investigate the effectiveness of compensation, which infers that the final positioning error in the time domain can be reduced from 260 nm to 130 nm with PDDFs and VDDFs compensation. The gain of the interaction transfer is decreased in the frequency range of up to 45 Hz with PDDFs and VDDFs compensation. With this method, some weak dynamic interaction can be completely compensated for by the force feedforward compensation, and the positioning accuracy of non-contact DSA systems can be greatly improved.

Study on the Dynamic Interaction between Steel Primary Structure and Cable Curtain Walls Secondary Structure under Wind Load

2012 ◽  
Vol 446-449 ◽  
pp. 3076-3079
Author(s):  
Dui Xian Gao ◽  
Yong Lei Fan ◽  
Xiao Ling Cui
Keyword(s):  
Secondary Structure ◽  
Support System ◽  
Time Domain ◽  
Primary Structure ◽  
Wind Load ◽  
Dynamic Interaction ◽  
Curtain Wall ◽  
Maintenance System ◽  
Load Analysis ◽  
The Time Domain

Cable curtain walls as a new maintenance system is being used more and more in modern structures, it is particularly important to research the interaction between the framework and support for cable truss structure. Select a layer of glass curtain wall with cable truss support system in this paper compared with a separate framework with Wind load analysis of the time domain to study the interaction

Apodisation in the time domain

1992 ◽  
Vol 2 (4) ◽  
pp. 615-620
Author(s):  
G. W. Series
Keyword(s):  
Time Domain ◽  
The Time Domain

JOINT INTERPRETATION OF AIRBORNE ELECTROMAGNETIC DATA IN THE TIME DOMAIN AND FREQUENCY DOMAIN

2018 ◽  
Vol 12 (7-8) ◽  
pp. 76-83
Author(s):  
E. V. KARSHAKOV ◽  
J. MOILANEN
Keyword(s):  
Fourier Transform ◽  
Frequency Domain ◽  
Time Domain ◽  
Frequency Interval ◽  
Single Spectrum ◽  
Simultaneous Inversion ◽  
Homogeneous Half Space ◽  
Time Domain Data ◽  
The Time Domain

Тhe advantage of combine processing of frequency domain and time domain data provided by the EQUATOR system is discussed. The heliborne complex has a towed transmitter, and, raised above it on the same cable a towed receiver. The excitation signal contains both pulsed and harmonic components. In fact, there are two independent transmitters operate in the system: one of them is a normal pulsed domain transmitter, with a half-sinusoidal pulse and a small "cut" on the falling edge, and the other one is a classical frequency domain transmitter at several specially selected frequencies. The received signal is first processed to a direct Fourier transform with high Q-factor detection at all significant frequencies. After that, in the spectral region, operations of converting the spectra of two sounding signals to a single spectrum of an ideal transmitter are performed. Than we do an inverse Fourier transform and return to the time domain. The detection of spectral components is done at a frequency band of several Hz, the receiver has the ability to perfectly suppress all sorts of extra-band noise. The detection bandwidth is several dozen times less the frequency interval between the harmonics, it turns out thatto achieve the same measurement quality of ground response without using out-of-band suppression you need several dozen times higher moment of airborne transmitting system. The data obtained from the model of a homogeneous half-space, a two-layered model, and a model of a horizontally layered medium is considered. A time-domain data makes it easier to detect a conductor in a relative insulator at greater depths. The data in the frequency domain gives more detailed information about subsurface. These conclusions are illustrated by the example of processing the survey data of the Republic of Rwanda in 2017. The simultaneous inversion of data in frequency domain and time domain can significantly improve the quality of interpretation.

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