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Using SeeYou for Soaring Flight Analysis. GPS-trace based flight analysis. Real Question: How I do become a better cross-country glider pilot. Agenda. Overview SeeYou capabilities Quick review of theoretical underpinnings of X-country flight optimization

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using seeyou for soaring flight analysis
Using SeeYou for Soaring Flight Analysis

GPS-trace based flight analysis

agenda
Agenda
  • Overview SeeYou capabilities
  • Quick review of theoretical underpinnings of X-country flight optimization
  • Example of competitive analysis of G-Cup flights on May 19th, 2003
overview seeyou capabilities
Overview SeeYou Capabilities
  • Turnpoint Database Management
    • Importing/creating new turnpoints
    • Modifying/deleting turnpoints
  • Task Database Management
    • Importing tasks/creating new tasks
    • Modifying/deleting tasks
  • GPS Trace Analysis
    • Importing GPS traces (connection wizzard)
    • Analyzing flights
      • 2-D flight analysis
        • Single flight
        • Multiple flights
        • Synchronization
        • Customizing screen
      • 3-D flight analysis
        • Single flight
        • Multiple flight
        • How to move about
      • Barograph-type analysis of flight parameters
        • Cross-matching of parameters
      • Statistical Analysis
        • Info Available
        • Selections
slide5
Quick review of theoretical underpinnings of X-country flight optimization
    • MacCready (deterministic)
    • Mathar (stochastic)
    • Cochrane (stochastic)
maccready theory

Distance s

A

B

Net lift l

Net lift l in next thermal +/-inthermal airmass sink/lift

vtarget

vcruise

polar

sink ps at vtarget

polar

sink

Cruise time to next thermal

Time spent regaining altitude in thermal

MacCready Theory
  • Q: How fast should I fly based on known lift conditions ahead of me in order to minimize time from A to B when my altitude is unlimited?
  • Answer: Classic speed-to-fly (MacCready) theory – provides explicit interthermal cruise speed and implicit rule, in which thermals to climb
  • Two key constraints of MacCready theory:
  • Deterministic model, based on known net lift l – which in reality is unknown
  • Doesn’t account for limited altitude
constraint 1 uncertain lift r mathar technical soaring oct 1996
Constraint 1: Uncertain lift – R. Mathar, Technical Soaring Oct 1996
  • Q: How fast should I fly based on unknown lift conditions ahead of me in order to minimize time from A to B?
  • Answer: If there is a distribution of expected lift set the MacCready ring (or equivalent device) to the harmonic mean rather than the arithmetic mean (=straight average)

Mathematics:

Practice:

  • Key insight
  • Provides theoretical underpinning for common sense strategy to fly a little more on the cautious side based on uncertainty
constraint 2 limited altitude r mathar 1996

2knots

6knots

2knots

A

B

Ground

Constraint 2: Limited Altitude – R. Mathar, 1996
  • Q: What is the best strategy in order to minimize time from A to B given variable known lift conditions and limited altitude?
  • Answer: Depends on glider performance and the altitude available. With limited glider performance and/or limited altitude the weakest lift needed to get around the task is dominant in determining optimum speed-to-fly

Example:

  • Key insight
  • Provides theoretical underpinning for common sense strategy to fly a little more on the cautious side with limited altitude
combining the constraints j cochrane 1999
Combining the Constraints – J. Cochrane, 1999
  • Q: What is the best strategy in order to minimize time from A to B given uncertain lift conditions and limited altitude?
  • Answer: No closed form solution. Numerical investigation yields insights:

Confirmation of standard McCready theory:

  • Set McCready ring (Speed-to-fly computer)
  • Fly best speed when lift below setting
  • Circle, if above setting

Additional insights relative to McCready theory:

  • Lower the setting as you get lower
  • Increase setting with altitude
  • Use setting well below best climb of day
  • Start final glides low & aggressive, end conservative

Deficiencies:

  • Thermals assumed static (daytime & height variability)
  • Information driven discrete strategies (clouds, topography)
  • Competitive dynamics (game theory, scoring asymmetries)
  • Wind, ballast options etc.
  • Key insight:
  • Common sense is confirmed; implementation requires a statistical mindset when flying; real life too complicated for theory
slide11
A beautiful day…the weather on May 19th, 20029 completions to analyze1K2, B21 (2 flights), DRT, FD2, PX, SM, TB, TUP
early bird doesn t catch the worm but potentially gets to complete the g cup twice in a day

The Pros leave at ~1:30 pm…

…with a few newcomers painting thermals on course

for them

Early bird, doesn’t catch the worm……but potentially gets to complete the G-Cup twice in a day!
rush delta echo

…but beginners might take heart and lower that nose…

High Interthermal speed is not sufficient for success…

Rush, ΔΣ (=Delta Echo)!
maccready alright
MacCready alright…

Too much of a good thing…is a bad thing…

…especially when easy does it!