Simulation of Motorcycle Balance Control Using Scissored-Paired Control Moment Gyroscopes

This paper presents a novel motorcycle stabilization system using scissor-paired Control Moment Gyroscopes (CMGs). We propose a control solution that doesn't require full vehicle dynamics, including speed and steering, but instead relies on a simplified CMG inverted pendulum model. This approach eliminates the need for complex full-vehicle equations. We introduce an LQR controller with Equilibrium Offset Com-pensation and a Centrifugal Force Adaptive Lean algorithm for stability management. To validate our approach, we develop a detailed Multibody Simulink model that accurately represents a real vehicle, serving as a comprehensive testbed for our control algorithms and model correctness.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907431
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
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article

Simulation of Motorcycle Balance Control Using Scissored-Paired Control Moment Gyroscopes

Kitti Thamrongaphichartkul, Supachai Vongbunyong, Paweekorn Buasakorn
Magnetic Bearings and Levitation Dynamics
article

Simulation of Motorcycle Balance Control Using Scissored-Paired Control Moment Gyroscopes

Kitti Thamrongaphichartkul, Supachai Vongbunyong, Paweekorn Buasakorn
article en

Abstract

This paper presents a novel motorcycle stabilization system using scissor-paired Control Moment Gyroscopes (CMGs). We propose a control solution that doesn't require full vehicle dynamics, including speed and steering, but instead relies on a simplified CMG inverted pendulum model. This approach eliminates the need for complex full-vehicle equations. We introduce an LQR controller with Equilibrium Offset Com-pensation and a Centrifugal Force Adaptive Lean algorithm for stability management. To validate our approach, we develop a detailed Multibody Simulink model that accurately represents a real vehicle, serving as a comprehensive testbed for our control algorithms and model correctness.

King Mongkut's University of Technology Thonburi (TH)
Affordable and clean energy
Openalex Percentile: Top 65%
Magnetic Bearings and Levitation Dynamics
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