High-Performance Motorbike Lean Angle Estimation

This work deals with the real-time estimation of the lean angle of high-performance motorbikes. The estimate is obtained through measurements provided by an onboard inertial sensor and a GNSS receiver. A two-stage state observer, implementing a kinematic model developed under the novel assumption of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">coordinated maneuver</i>, processes these measurements. A theoretical analysis demonstrates the observer’s stability, the estimate’s accuracy, and the estimation error bounds. Finally, experimental results obtained on race-track tests show the superior performance of the proposed estimator compared with other competitive approaches.

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2025-05-29
DOI
https://doi.org/10.1109/tcst.2025.3570866
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
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article

High-Performance Motorbike Lean Angle Estimation

Nicola Mimmo, Matteo Zanzi
IEEE Transactions on Control Systems Technology
Vehicle Dynamics and Control Systems
article

High-Performance Motorbike Lean Angle Estimation

Nicola Mimmo, Matteo Zanzi
article en

Abstract

This work deals with the real-time estimation of the lean angle of high-performance motorbikes. The estimate is obtained through measurements provided by an onboard inertial sensor and a GNSS receiver. A two-stage state observer, implementing a kinematic model developed under the novel assumption of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">coordinated maneuver</i>, processes these measurements. A theoretical analysis demonstrates the observer’s stability, the estimate’s accuracy, and the estimation error bounds. Finally, experimental results obtained on race-track tests show the superior performance of the proposed estimator compared with other competitive approaches.

IEEE Transactions on Control Systems TechnologyVol. 33(6)
University of Bologna (IT)
Affordable and clean energy
Openalex Percentile: Top 88%
Vehicle Dynamics and Control Systems
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