The design of an active stability control system for twowheeled vehicles is a fully open problem and it constitutes a challenging task due to the complexity of two-wheeled vehicles dynamics and the strong interaction between the vehicle and the driver. This paper describes and compares two different methods, a model-based and a data-driven approach, to tune a Multi- Input-Multi-Output controller which allows to enhance the safety while guaranteeing a good driving feeling. The two strategies are tested on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed.

A comparison between model-based and data-driven design of an active stability control system for two-wheeled vehicles

DE FILIPPI, PIERPAOLO;FORMENTIN, SIMONE;SAVARESI, SERGIO MATTEO
2011

Abstract

The design of an active stability control system for twowheeled vehicles is a fully open problem and it constitutes a challenging task due to the complexity of two-wheeled vehicles dynamics and the strong interaction between the vehicle and the driver. This paper describes and compares two different methods, a model-based and a data-driven approach, to tune a Multi- Input-Multi-Output controller which allows to enhance the safety while guaranteeing a good driving feeling. The two strategies are tested on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/609031
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