Wind data measured during a ¯eld experiment were used to verify
the analytical model of wind gusts. Good coincidence was observed;
the only discrepancy occurred for the azimuth error in the front
and back winds, where the simulated errors were smaller than the
measured ones. This happened because of the assumption of the spatial
coherence of the wind gust model, which generated a symmetric antenna
load and, in consequence, a low azimuth servo error. This result
indicates a need for upgrading the wind gust model to a spatially
incoherent one that will re°ect the real gusts in a more accurate
manner. In order to design a controller with wind disturbance rejection
properties, the wind disturbance should be known at the input to
the antenna rate loop model. The second task, therefore, consists
of developing a digital ¯lter that simulates the wind gusts at the
antenna rate input. This ¯lter matches the spectrum of the measured
servo errors. In this scenario, the wind gusts are generated by introducing
white noise to the ¯lter input.
%0 Report
%1 Gawronski1995
%A Gawronski, W.
%D 1995
%I Interplanetary Network progress report
%K Modelling, Wind analysis, spectrum
%T Wind Gust Models Derived from Field Data
%X Wind data measured during a ¯eld experiment were used to verify
the analytical model of wind gusts. Good coincidence was observed;
the only discrepancy occurred for the azimuth error in the front
and back winds, where the simulated errors were smaller than the
measured ones. This happened because of the assumption of the spatial
coherence of the wind gust model, which generated a symmetric antenna
load and, in consequence, a low azimuth servo error. This result
indicates a need for upgrading the wind gust model to a spatially
incoherent one that will re°ect the real gusts in a more accurate
manner. In order to design a controller with wind disturbance rejection
properties, the wind disturbance should be known at the input to
the antenna rate loop model. The second task, therefore, consists
of developing a digital ¯lter that simulates the wind gusts at the
antenna rate input. This ¯lter matches the spectrum of the measured
servo errors. In this scenario, the wind gusts are generated by introducing
white noise to the ¯lter input.
@techreport{Gawronski1995,
abstract = {Wind data measured during a ¯eld experiment were used to verify
the analytical model of wind gusts. Good coincidence was observed;
the only discrepancy occurred for the azimuth error in the front
and back winds, where the simulated errors were smaller than the
measured ones. This happened because of the assumption of the spatial
coherence of the wind gust model, which generated a symmetric antenna
load and, in consequence, a low azimuth servo error. This result
indicates a need for upgrading the wind gust model to a spatially
incoherent one that will re°ect the real gusts in a more accurate
manner. In order to design a controller with wind disturbance rejection
properties, the wind disturbance should be known at the input to
the antenna rate loop model. The second task, therefore, consists
of developing a digital ¯lter that simulates the wind gusts at the
antenna rate input. This ¯lter matches the spectrum of the measured
servo errors. In this scenario, the wind gusts are generated by introducing
white noise to the ¯lter input.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Gawronski, W.},
biburl = {https://www.bibsonomy.org/bibtex/2fbe6c4d774dcb83f43a9647f24c3c983/procomun},
file = {Gawronski1995.pdf:Gawronski1995.pdf:PDF},
interhash = {2368a643ec4f97bbf8aff17fde545016},
intrahash = {fbe6c4d774dcb83f43a9647f24c3c983},
keywords = {Modelling, Wind analysis, spectrum},
owner = {oscar},
publisher = {Interplanetary Network progress report},
refid = {Gawronski1995},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {Wind Gust Models Derived from Field Data},
year = 1995
}