scholarly journals Real-time high-speed motion blur compensation system based on back-and-forth motion control of galvanometer mirror

2015 ◽  
Vol 23 (25) ◽  
pp. 31648 ◽  
Author(s):  
Tomohiko Hayakawa ◽  
Takanoshin Watanabe ◽  
Masatoshi Ishikawa
Keyword(s):  
Real Time ◽  
Motion Control ◽  
High Speed ◽  
Motion Blur ◽  
Compensation System

scholarly journals 4D imaging of sub-second dynamics in pore-scale processes using real time synchrotron x-ray tomography

2016 ◽  
Author(s):  
Katherine J. Dobson ◽  
Sophia B. Coban ◽  
Sam A. McDonald ◽  
Joanna Walsh ◽  
Robert Atwood ◽  
...  
Keyword(s):  
Real Time ◽  
High Frequency ◽  
High Speed ◽  
Motion Blur ◽  
Transport Processes ◽  
Fluid Distribution ◽  
Pore Scale ◽  
X Ray ◽  
Wide Range ◽  
In Situ Experiments

Abstract. A variable volume flow cell has been integrated with state-of-the-art ultra-high speed synchrotron x-ray tomography imaging. The combination allows the first real time (sub-second) capture of dynamic pore (micron) scale fluid transport processes in 4D (3D + time). With 3D data volumes acquired at up to 20 Hz, we perform in situ experiments that capture high frequency pore-scale dynamics in 5–25 mm diameter samples with voxel (3D equivalent of a pixel) resolution of 2.5 to 3.8 µm. The data are free from motion artefacts, can be spatially registered or collected in the same orientation making them suitable for detailed quantitative analysis of the dynamic fluid distribution pathways and processes. The method presented here are capable of capturing a wide range of high frequency non equilibrium pore-scale processed including wetting, dilution, mixing and reaction phenomena, without sacrificing significant spatial resolution. As well as fast streaming (continuous acquisition) at 20 Hz, it also allows larger-scale and longer term experimental runs to be sampled intermittently at lower frequency (time-lapse imaging); benefiting from fast image acquisition rates to prevent motion blur in highly dynamic systems. This marks a major technical breakthrough for quantification of high frequency pore scale processes: processes that are critical for developing and validating more accurate multiscale flow models through spatially and temporally heterogeneous pore networks.

Real-time NURBS interpolation using FPGA for high speed motion control

2006 ◽  
Vol 38 (10) ◽  
pp. 1123-1133 ◽  
Author(s):  
Hong-Tzong Yau ◽  
Ming-Tzong Lin ◽  
Meng-Shiun Tsai
Keyword(s):  
Real Time ◽  
Motion Control ◽  
High Speed ◽  
Nurbs Interpolation

Image-based estimation, planning, and control for high-speed flying through multiple openings

2020 ◽  
Vol 39 (9) ◽  
pp. 1122-1137
Author(s):  
Dejun Guo ◽  
Kam K Leang
Keyword(s):  
Real Time ◽  
Motion Control ◽  
High Speed ◽  
Poor Performance ◽  
Image Features ◽  
Robot Dynamics ◽  
Planning And Control ◽  
Invariant Features ◽  
Experimental Trials ◽  
And Control

This article focuses on enabling an aerial robot to fly through multiple openings at high speed using image-based estimation, planning, and control. State-of-the-art approaches assume that the robot’s global translational variables (e.g., position and velocity) can either be measured directly with external localization sensors or estimated onboard. Unfortunately, estimating the translational variables may be impractical because modeling errors and sensor noise can lead to poor performance. Furthermore, monocular-camera-based pose estimation techniques typically require a model of the gap (window) in order to handle the unknown scale. Herein, a new scheme for image-based estimation, aggressive-maneuvering trajectory generation, and motion control is developed for multi-rotor aerial robots. The approach described does not rely on measurement of the translational variables and does not require the model of the gap or window. First, the robot dynamics are expressed in terms of the image features that are invariant to rotation (invariant features). This step decouples the robot’s attitude and keeps the invariant features in the flat output space of the differentially flat system. Second, an optimal trajectory is efficiently generated in real time to obtain the dynamically-feasible trajectory for the invariant features. Finally, a controller is designed to enable real-time, image-based tracking of the trajectory. The performance of the estimation, planning, and control scheme is validated in simulations and through 80 successful experimental trials. Results show the ability to successfully fly through two narrow openings, where the estimation and planning computation and motion control from one opening to the next are performed in real time on the robot.

scholarly journals 4-D imaging of sub-second dynamics in pore-scale processes using real-time synchrotron X-ray tomography

Solid Earth ◽  
2016 ◽  
Vol 7 (4) ◽  
pp. 1059-1073 ◽  
Author(s):  
Katherine J. Dobson ◽  
Sophia B. Coban ◽  
Samuel A. McDonald ◽  
Joanna N. Walsh ◽  
Robert C. Atwood ◽  
...  
Keyword(s):  
Real Time ◽  
High Frequency ◽  
High Speed ◽  
Motion Blur ◽  
Transport Processes ◽  
Fluid Distribution ◽  
Pore Scale ◽  
X Ray ◽  
Wide Range ◽  
In Situ Experiments

Abstract. A variable volume flow cell has been integrated with state-of-the-art ultra-high-speed synchrotron X-ray tomography imaging. The combination allows the first real-time (sub-second) capture of dynamic pore (micron)-scale fluid transport processes in 4-D (3-D + time). With 3-D data volumes acquired at up to 20 Hz, we perform in situ experiments that capture high-frequency pore-scale dynamics in 5–25 mm diameter samples with voxel (3-D equivalent of a pixel) resolutions of 2.5 to 3.8 µm. The data are free from motion artefacts and can be spatially registered or collected in the same orientation, making them suitable for detailed quantitative analysis of the dynamic fluid distribution pathways and processes. The methods presented here are capable of capturing a wide range of high-frequency nonequilibrium pore-scale processes including wetting, dilution, mixing, and reaction phenomena, without sacrificing significant spatial resolution. As well as fast streaming (continuous acquisition) at 20 Hz, they also allow larger-scale and longer-term experimental runs to be sampled intermittently at lower frequency (time-lapse imaging), benefiting from fast image acquisition rates to prevent motion blur in highly dynamic systems. This marks a major technical breakthrough for quantification of high-frequency pore-scale processes: processes that are critical for developing and validating more accurate multiscale flow models through spatially and temporally heterogeneous pore networks.

scholarly journals Research on distributed real-time synchronous motion control based on time-sensitive networking

2021 ◽  
Vol 336 ◽  
pp. 04015
Author(s):  
Li Han ◽  
Hong Yang ◽  
Lan Zhuo ◽  
Chi Zhang
Keyword(s):  
Real Time ◽  
Motion Control ◽  
Data Transmission ◽  
High Speed ◽  
Phase Synchronization ◽  
Traffic Load ◽  
Precision Manufacturing ◽  
Synchronous Motion ◽  
Periodic Data ◽  
Control Scheme

As a set of protocol standards defining time sensitive mechanism of Ethernet data transmission, Time sensitive network (TSN) can support transmission of isochronous data and non-periodic data in the same network . Distributed synchronous control plays an important role in large precision manufacturing scene. In this paper, a distributed real-time synchronous motion control scheme of two motors based on TSN is proposed, and the experiment shows that the two motors moving at high speed can still maintain phase synchronization under the scheduling mechanism of IEEE Std 802.1Qbv even if there is a large traffic load in the network.

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