A variational approach to determine the optimal power distribution for cycling in a time trial

Conference Paper (2016)
Author(s)

J. de Jong (Universiteit Utrecht)

Robbert Fokkink (TU Delft - Applied Probability)

GJ Olsder (TU Delft - Discrete Mathematics and Optimization)

A.L. Schwab (TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Applied Probability
Copyright
© 2016 J. de Jong, R.J. Fokkink, G.J. Olsder, A.L. Schwab
DOI related publication
https://doi.org/10.1016/j.proeng.2016.06.280
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 J. de Jong, R.J. Fokkink, G.J. Olsder, A.L. Schwab
Research Group
Applied Probability
Volume number
147
Pages (from-to)
907-911
Reuse Rights

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Abstract

The optimal pacing strategy of a cyclist in an individual time-trial depends on terrain, weather conditions and the cyclists endurance capacity. Previous experimental and theoretical studies have shown that a suboptimal pacing strategy may have a substantial negative effect. In this paper we express the optimal pacing problem as a mathematical optimal control problem which we solve using Pontryagin's maximum principle. Our solution of the pacing problem is partly numerical and partly analytical. It applies to a straight course without bends. It turns out that the optimal pacing problem is a singular control problem. Intricate mathematical arguments are required to prove that the singular control times form a single interval: optimal pacing starts with maximum power and decays through a singular control, which may be degenerate, to minimum power.