Algorithm for correcting sensor rotation during suspension movement of a two-wheeled vehicle

Abstract The stator–rotor principle is often used to measure rotational movements on full-suspension two-wheeled vehicles. The stator is attached to the frame of the two-wheeled vehicle, and the rotor is attached to the part to be measured. One example is the classic angle measurement with magnetic rings. As a result of the suspension movement, the kinematic bodies of the frame rotate, causing the attached stators to rotate accordingly. Postprocessing of the measurement data is essential to compensate for unwanted stator rotations. Without postprocessing, both rotations—the rotational movement of the kinematic body with the stator and the rotation of the part to be measured with the rotor—are used as rotation signals, which leads to a distorted measurement signal due to the rotation of the stator. This paper presents an algorithm for determining and eliminating the rotational movement of the stator. It can be used for any measurement that also works with a stator–rotor system in which the rotation of the stator is generated by ground contact (and not by lifting a wheel). By determining the rotations numerically, the algorithm can be transferred to different types of kinematics and frame parts. The paper also presents a bicycle sensor setup for measuring disturbance forces on the crank of a bicycle. This configuration can be used to analyze the influence of the chain movement and pedal kickback on the rider.

Authors

Institutions

Publication Details

Journal
Sports Engineering
Published
2025-07-04
DOI
https://doi.org/10.1007/s12283-025-00506-7
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithm for correcting sensor rotation during suspension movement of a two-wheeled vehicle

Veit Senner, Peter Kohmann, Manuel Gerth
Sports Engineering
Engineering Technology and Methodologies
article

Algorithm for correcting sensor rotation during suspension movement of a two-wheeled vehicle

Veit Senner, Peter Kohmann, Manuel Gerth
article en

Abstract

Abstract The stator–rotor principle is often used to measure rotational movements on full-suspension two-wheeled vehicles. The stator is attached to the frame of the two-wheeled vehicle, and the rotor is attached to the part to be measured. One example is the classic angle measurement with magnetic rings. As a result of the suspension movement, the kinematic bodies of the frame rotate, causing the attached stators to rotate accordingly. Postprocessing of the measurement data is essential to compensate for unwanted stator rotations. Without postprocessing, both rotations—the rotational movement of the kinematic body with the stator and the rotation of the part to be measured with the rotor—are used as rotation signals, which leads to a distorted measurement signal due to the rotation of the stator. This paper presents an algorithm for determining and eliminating the rotational movement of the stator. It can be used for any measurement that also works with a stator–rotor system in which the rotation of the stator is generated by ground contact (and not by lifting a wheel). By determining the rotations numerically, the algorithm can be transferred to different types of kinematics and frame parts. The paper also presents a bicycle sensor setup for measuring disturbance forces on the crank of a bicycle. This configuration can be used to analyze the influence of the chain movement and pedal kickback on the rider.

Sports EngineeringVol. 28(2)
Pforzheim University of Applied Sciences (DE), Technical University of Munich (DE)
Technische Universität München
Openalex Percentile: Top 77%
Engineering Technology and Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.