Estimation of Input Rotation Speed in Gauge-Sensorized Strain Wave Gears

Most modern robotic joints are equipped with strain wave gears (SWG) as well as measurement devices like encoders and torque transducers. Torque information can also be gained without torque transducers from strain gauge sensors that are mounted on the flex spline, the deformable part of SWGs. These sensor signals provide, in addition, information about the input rotation speed and can therefore be exploited for its estimation. This paper focuses on this input rotation speed estimation by means of a peak-to-peak scheme, a trigonometric function approach by utilizing an alternative sensor setup, an extended Kalman filter (EKF), and a frequency-locked loop. The analysis leads to the conclusion that the EKF shows the highest potential to accomplish this task.

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Published
2025-08-25
DOI
https://doi.org/10.1109/ccta53793.2025.11151315
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
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article

Estimation of Input Rotation Speed in Gauge-Sensorized Strain Wave Gears

Maik Horn, Knut Graichen, Andreas Michalka, Christoph Strohmeyer et al.
1 links
Advanced MEMS and NEMS Technologies
article

Estimation of Input Rotation Speed in Gauge-Sensorized Strain Wave Gears

Maik Horn, Knut Graichen, Andreas Michalka, Christoph Strohmeyer, Julian Kißkalt
article en

Abstract

Most modern robotic joints are equipped with strain wave gears (SWG) as well as measurement devices like encoders and torque transducers. Torque information can also be gained without torque transducers from strain gauge sensors that are mounted on the flex spline, the deformable part of SWGs. These sensor signals provide, in addition, information about the input rotation speed and can therefore be exploited for its estimation. This paper focuses on this input rotation speed estimation by means of a peak-to-peak scheme, a trigonometric function approach by utilizing an alternative sensor setup, an extended Kalman filter (EKF), and a frequency-locked loop. The analysis leads to the conclusion that the EKF shows the highest potential to accomplish this task.

Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Schaeffler (Germany) (DE)
Openalex Percentile: Top 77%
Advanced MEMS and NEMS Technologies
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Estimation of Input Rotation Speed in Gauge-Sensorized Strain Wave Gears — Maik Horn, Knut Graichen, et al. · (2025) | TGRS Research Map | TGRS