Lean angle is a crucial variable in determining the dynamic behavior of two-wheeled vehicles. As such, its knowledge is needed to enhance active safety via traction, braking and stability control systems. To estimate the roll angle, this paper proposes a method that employs a reduced set of sensors with respect to existing solutions; namely, two accelerometers and a gyroscope are needed. Notably, it does not require the knowledge of the speed signal, which can be unavailable and/or affected by significant uncertainties when large accelerations/decelerations occur. The estimation performance are analyzed based on experimental data collected on a sport motorcycle at the Imola circuit.

Lean angle estimation in two-wheeled vehicles with a reduced sensor configuration

BONIOLO, IVO EMANUELE FRANCESCO;SAVARESI, SERGIO MATTEO;TANELLI, MARA
2012-01-01

Abstract

Lean angle is a crucial variable in determining the dynamic behavior of two-wheeled vehicles. As such, its knowledge is needed to enhance active safety via traction, braking and stability control systems. To estimate the roll angle, this paper proposes a method that employs a reduced set of sensors with respect to existing solutions; namely, two accelerometers and a gyroscope are needed. Notably, it does not require the knowledge of the speed signal, which can be unavailable and/or affected by significant uncertainties when large accelerations/decelerations occur. The estimation performance are analyzed based on experimental data collected on a sport motorcycle at the Imola circuit.
2012
Proceedings of 2012 IEEE International Symposium on Circuits & Systems
978-1-4673-0218-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/657466
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