Mechanical optimization of skateboard pumping

Skateboarders perform a reciprocating motion on a curved ramp, called pumping, by moving their bodies up and down perpendicular to the ramp surface. We propose a simple mechanical model for this pumping motion and solve the equation of motion explicitly in angular coordinates. This allows us to derive an optimal control strategy to maximize amplitude by dynamically adjusting the center of mass of the skateboarder. This optimal strategy is compared to experimental results for the motion of a skilled and an unskilled skateboarder in a half-pipe, validating that a skilled skateboarder follows the optimal control strategy more closely. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-08-05
DOI
https://doi.org/10.1103/physrevresearch.6.033132
Citations
2
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.43

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article

Mechanical optimization of skateboard pumping

Florian Kogelbauer, Shigeru Shinomoto, Shinsuke Koyama, Daniel E. Callan
2 citations
Physical Review Research
Hydraulic and Pneumatic Systems
0.43
article

Mechanical optimization of skateboard pumping

Florian Kogelbauer, Shigeru Shinomoto, Shinsuke Koyama, Daniel E. Callan
article en
2 citations

Abstract

Skateboarders perform a reciprocating motion on a curved ramp, called pumping, by moving their bodies up and down perpendicular to the ramp surface. We propose a simple mechanical model for this pumping motion and solve the equation of motion explicitly in angular coordinates. This allows us to derive an optimal control strategy to maximize amplitude by dynamically adjusting the center of mass of the skateboarder. This optimal strategy is compared to experimental results for the motion of a skilled and an unskilled skateboarder in a half-pipe, validating that a skilled skateboarder follows the optimal control strategy more closely. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
Ritsumeikan University (JP), Kyoto University (JP), ETH Zurich (CH), The Institute of Statistical Mathematics (JP)
Japan Society for the Promotion of Science London, New Energy and Industrial Technology Development Organization, Japan Society for the Promotion of Science
Openalex Percentile: Top 43%
Hydraulic and Pneumatic Systems
0.43
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