文档介绍：JOURNAL OF PUTING, INFORMATION, MUNICATION
Vol. 3, February 2006
Real-Time Particle Image Velocimetry for Feedback Loops
Using FPGA Implementation
Haiqian Yu∗, Miriam Leeser† and Gilead Tadmor‡
Northeastern University, Boston, MA 02115
and
Stefan Siegel§
US Air Force Academy, CO, 80840
Digital Particle Image Velocimetry (PIV) is well established as a fluid dynamics
measurement tool, being capable of non-intrusively and concurrently measuring a distributed
velocity field. Yet the putational requirements of PIV limit its use almost
exclusively to off-line processing, analysis and modeling. This paper proposes hardware
implementation of the cross-correlation algorithm as a means to make real-time PIV avail-
able for closed-loop control. We introduce a real-time PIV system which exploits the low-level
parallelism of the cross-putation by implementing it with reconfigurable
hardware. The system can process plete image pairs per second, which is more than
70 times speedup over a sequential software implementation. Moreover, for high speed PIV
cameras with the ability of capturing thousands of images per second, a selected area cross-
correlation is implemented to shorten the processing time for each pair of images at the cost
of decreased spatial resolution. This implementation is very suitable for model based high
speed PIV analysis. Our hardware structure can easily be expanded to a more parallel design
for faster processing given sufficient hardware resources. This design can be reused with only
minor modifications for different image sizes and interrogation areas.
I. Introduction
A. PIV
ARTICLE image velocimetry (PIV) is a measurement technique for evaluating the velocity field in fluid flows.
PIn a conventional PIV system,1,2 small particles are added to the fluid and their movements are measured by
comparing pairs of images of the flow, taken in rapid ession. The local fluid velocity is estimated by dividing
the images into