Skip to main content
Log in

Quickest descent line during alpine ski racing

Sports Engineering Aims and scope Submit manuscript

Abstract

Time differences between medalists at Olympic or World Cup alpine ski races are often less than 0.01 s. One factor that could affect these small differences is the line taken between the numerous gates passed through while speeding down the ski slope. The determination of the ‘quickest line’ is therefore critical to winning races. In this study the quickest lines are calculated by direct optimal control theory which converts an optimal control problem into a parameter optimization problem that is solved using a nonlinear programming method. Specifically, the problem is described in terms of an objective function in which state and control variables are implicitly involved. The objective function is the time between the starting point and finishing gate, while state variables are positions of the ski-skier systems on a ski slope, rotational angles of skis, velocities, and rotational velocity at a discrete time, i.e., a node. The control variable at each node is the skier-controlled edging angle between the ski sole and snow surface. Equations of motion of the ski-skier system on a ski slope are numerically satisfied at the midpoint between neighbouring nodes, and the original problem is converted into a nonlinear programming problem with equality and inequality constraints. The problem is solved by the sequential quadratic programming method in which numerical calculations are carried out using the MATLAB Optimization Toolbox. Numerical calculations are presented to determine the quickest lines of an uphill and a downhill ski turn with a starting point, first gate, and second gate (finish line) having been successfully carried out. The quickest line through four gates could not be calculated due to numerical difficulty. Instead, the descent line was respectively calculated for an uphill and downhill turn and simply added, giving a resultant time that represents an upper bound.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (France)

Instant access to the full article PDF.

Institutional subscriptions

References

  • Coleman, T. F., Branch, M. A. and Grace, A. (1999), Optimization Toolbox for Use with MATLAB, The Math Works Inc.

  • Hirano, Y. and Tada, N. (1996), Numerical simulation of a turning alpine ski during recreational skiing,Medicine and Science in Sports and Exercise,28, 1209–1213.

    Google Scholar 

  • Lieu, D. K. and Mote, C. D. (1984), Experiments in the machining of ice at negative rake angles,Journal of Glaciology,30, 77–81.

    Google Scholar 

  • Renshaw, A. A. and Mote, C. D. (1989), A model for the turning snow ski.International Journal of Mechanical Sciences,31, 721–736.

    Article  Google Scholar 

  • Seo, K., Murakami, M. and Yoshida, K. (2004), Optimal flight technique for V-style ski jumping,Sports Engineering,7, 97–103.

    Article  Google Scholar 

  • Tada, N. and Hirano, Y. (2002), In search of the mechanics of a turning alpine ski using snow cutting force measurements,Sports Engineering,5, 15–22.

    Article  Google Scholar 

  • The Society of Ski Science (1971),Scientific Study of Skiing in Japan, HITACHI LTD.

  • Tsuchiya, T. and Suzuki, S. (1998), Spaceplane trajectory optimization with vehicle size analysis,Proceedings of 14th International Federation of Automatic Control, pp. 444–449.

  • Zhang, Y. L., Hubbard, M. and Huffman, R. K. (1995), Optimum control of bobsled steering,Journal of Optimization Theory and Applications,85, 1–19.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Y. Hirano.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hirano, Y. Quickest descent line during alpine ski racing. Sports Eng 9, 221–228 (2006). https://doi.org/10.1007/BF02866060

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02866060

Keywords

Navigation