by Graham Brown
AG Jan 1993
The currently used handicaps for sports class
competitions in Australia are based on the work of Peter
Rigby (A.G. Oct 1981).These handicaps have worked well
over the years and are based on cross country speeds
calculated from the polar curves.In order to advance the
science of hanicapping gliders it is now more appropriate
to model glider performance using a computer.The
following describes a simple computer model which I have
implemented on a PC which is not too different from the
Rigby calculations but automates the process and takes
into account additional factors such as wind, weight, and
start and finish heights. A comparison of the computer
calculated handicaps is made to the existing handicaps
and the effects of some of the previously unmodelled
factors noted.Handicaps for some of the newer aircraft
that are not yet flying in sports class are also
calculated.
In addition to Sports Class handicaps the computer allows
any aircraft to be the standard rather than just the
Pilatus.(The Pilatus is the current standard aircraft for
handicaps in Australia) This is probably of interest to
people running regattas wishing to handicap a fleet of ballasted gliders
to their chosen standard.
THE COMPUTER MODEL:
The computer model works as follows:
The computer model assumes gliders gain height in
thermals of a nominated average strength and then glide
to the next thermal at a cruise speed.This cruise speed
is calculated from the polar and is your block speed or
the speed indicated by your Macready ring or flight
director.The computer program calculates two cruise
speeds, one from a ring setting that you chose and one
for a ring setting equal to the climb rate. The latter
is used in calculations of handicaps.
The climb rate is calculated by subtracting 1.2 times the
minimum sink rate of the glider from the thermal air mass
vertical speed.The factor 1.2 is to reflect the greater
sink rate of the glider while turning in the thermals.
An achieved speed is then calculated by determining the
time to climb then glide a unit of distance.
This achieved speed is then adjusted due to the fact the
glider does not have to climb a height equivalent to the
start height minus the finish height over the total
length of the course.
Given a course to be flown, the wind strength and
direction and the above achieved speed through the air
,simple vector arithmetic gives the speed ,direction and
time to fly each leg.
The speed over the entire course is the total course
distance divided by the sum of the times taken to fly
each leg.
In order to make the above calculations the minimum sink
rate of the aircraft must be known and the cruise speeds
for any rate of climb.These are obtained from the polar
curve which is entered and stored in a file on the
computer.It is imperative that the wing loading at which
the polar was measured is known and is also entered.If
calculations are required at different wing loadings the
polar curve is translated by the square root of the ratio
of the wing loadings.
The handicap for any given flight is calculated by
determining the speed of the standard aircraft over the
course and dividing it by the speed of the selected
aircraft.
The computer output is illustrated below:
Cross Country Flight
Aircraft type = pik20b wingloading = 31.2 kg/m2
thermal strength = 5.5 knts climb rate in thermals= 3.9 knts
wind = 17 knts 300 degs
leg = 1 44.9 kms 52 degs 25.6 mins 105.4 kph
leg = 2 79.7 kms 344 degs 67.7 mins 70.7.kph
leg = 3 107.1 kms 209 degs 76.4 mins 84.1 kph
total distance = 231.7 kms
ring setting = 3 cruise speed = 72.1 kts opt cruise speed = 77.1 kts
strat height = 5000 ft finish height = 600ft
total time for course = 2 hrs 50 mins
speed for course = 81.9 kph opt speed for course = 82.5 kph
handicap = 0.83
handicap std = pilatus handicap speed for course = 67.9 kph
EFFECT OF THERMAL STRENGTH
Computer runs at thermal air mass strengths of 3, 6 and
12 knots demonstrate the effect of thermal stength on
handicaps.
| 3 Knts | 6 Knts | 12 Knts | |
| Ka6e | .95 | .98 | .99 |
| Std Libelle | .89 | .91 | .89 |
| PIK 20B | .86 | .84 | .84 |
| Nimbus 2 | .66 | .76 | .78 |
For example the Ka6e does a lot better than the Pilatus
in light conditions but then is constantly handicaped in
medimum and strong conditions.The Libelle is fairly
constantly handicapped in all conditions as is the
PIK.The Nimbus does extremely well in light conditions
then is relatively constantly handicaped.
EFFECT OF WIND
Computer runs at wind strengths of 0, 10, 20 and 25 knots
across a course demonstrates the effect of wind on
handicaps.
| Wind (knts) | 0 | 10 | 20 | 25 |
| Arrow | 1.14 | 1.15 | 1.20 | 1.25 |
| Ka6e | .99 | .98 | .98 | .98 |
| Std Libelle | .91 | .90 | .88 | .86 |
| PIK 20B | .84 | .84 | .81 | .78 |
| Nimbus 2 | .77 | .76 | .72 | .69 |
Lower performance aircraft to the Pilatus progressively
do worse as the wind strength increases.Conversely higher
performance aircraft to the Pilatus progressively do
better.
EFFECT OF WEATHER
Because the handicaps move around a bit depending on
thermal strengths and wind it is only fair to average the
handicaps calculated over a number of flights with the
weather conditions expected in the region at that time of
year.I have chosen in my calculations to average 10 days
representing the expected 10 days of a competition.
Bill Tugnett and myself pooled our records of sports
class competition flights in the Temora Leeton area for
January in the last 5 years and came up with the
following distribution:
| Wind (knts) | 0-10 | 11-20 | 22+ |
| 28% | 61% | 11% | |
| thermals(knts) | 1.5-4.5 | 4.6-6.5 | 6.6+ |
| 33% | 47% | 20% | |
| task dist (Km) | 100-200 | 201-300 | 300+ |
| 46% | 40% | 14% |
This distribution led to the selection of the following
10 standard flights over which the handicaps would be
averaged.
| Day | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| wind | 5 | 15 | 12 | 20 | 17 | 13 | 25 | 10 | 15 | 10 |
| thermals | 3.5 | 4.5 | 4.5 | 5.5 | 5.5 | 6.5 | 6.5 | 6.5 | 8.5 | 9.5 |
| distance | 126 | 198 | 181 | 171 | 233 | 267 | 283 | 297 | 328 | 390 |
EFFECT OF BALLAST
Computer runs at ballast weights of 80, 95 and 110 Kg
from the empty weight of the glider demonstrate
negligble effects on handicaps as long as all the gliders
have the same ballast.Differential ballasts however do
change the handicaps as shown below.
(Calculations were done using the conditions of day 6)
The above example shows that a glider carring 30 kg over
the nominated ballast has an avantage of 2 to 4 points.
COMPARISON TO EXISTING HANDICAPS
For the following calculations I have chosen a ballast of
95 kg which represents the weight of the pilot plus chute
plus a bit for miscellaneous items. This ballast is added
to the empty weight of the glider and divided by the wing
area to get the appropriate wing loading.
Results show handicaps close to the ones currently used.
eg
HANDICAPS FOR NEW AIRCRAFT
As can be seen in the table of handicaps newer aircraft
such as the DG 600 ,Ventus,DISCUS,and even the ASW 22 and
NIMBUS 3 have handicaps which reasonably reflect their
performance.
Handicaps for new gliders can be calculated on the spot
and all that is required is the polar with its
corresponding wing loading, the empty weight and the wing
area.
HANDICAPPING DISTANCES
The computer model does not take into account the cycle
of heating over the day. It assumes the average thermals
keep on going as long as they are needed.This is of
course absurd and is the reason why handicap competitions
should also handicap the distance gliders must fly.The
scratch distance must be set for the standard glider and
all other gliders must fly a distance equal to the
scratch distance divided by the handicap.This will mean
all gliders will spend about the same time in the air and
hence experience the same average thermal strength.
If the gliders have to fly different distances then it is
an opportunity to introduce an extra dimention into the
competition by letting the pilots chose the course and
hopfully bias their average thermal strength.
This was the reasoning behind the introduction of POT
tasking practiced at the national sports class
competitions .
ERRORS
The largest errors in computing handicaps come from the
polar data that is entered.Bill Tugnett and myself have
tried to use Johnson data or DFVLR data where possible
but sometimes all that is available is manufactures
data.If we can obtain better polar data the computer will
be able to calculate better handicaps.
The computer calculations are undoubtly only one input to
the sports class hanicapping committee but for new
aircraft it will be the only one until some history is
accumulated for that aircraft.
CONCLUSIONS
The computer model allows handicaps to be easily
calculated which should facilitate handicapping gliders
which have not previously competed in sports class.It
also calculates the effects of ballast which has been
controversial over the years and we are now in the
position to consider the topic quantatively.
The computer model provides for different aircraft to be
the standard and for the aircraft to be handicaped at
different weights.This will give more flexibility to
change the scope of sports class competitions in the
future and hopefully it will be tried in regattas in the
mean time.
E Mail Graham Brown
gbrown@zeta.org.au
Last Updated Monday November 21, 1997 - 9:06:00 PM