Effect of Initial Perturbations on Stability of Autonomous Bicycle—A Graphical Approach

Abstract The present article attempts to perform a quasi-dynamic analysis of bicycle stability from the viewpoint of initial perturbations and understand the stable and unstable behaviors. Like earlier researchers, the bicycle is idealized as four interconnected bodies—the front wheel, the front fork, the main body, and the rear wheel joined by revolute joints. The forces on the bicycle are limited to their weights, centrifugal forces, and gyroscopic moments. The two primary degrees-of-freedom analyzed are the bicycle lean (tilt) angle and the steering angle of the front wheel. A systematic matlab simulation analysis illustrates the results through trajectories, phase plots, and moment contours. This graphical approach helps to identify the effect of small but finite initial perturbations on the stability, offering intuitive insights into the nonlinear dynamics governing self-stability.

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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2025-10-15
DOI
https://doi.org/10.1115/1.4070145
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Effect of Initial Perturbations on Stability of Autonomous Bicycle—A Graphical Approach

ASME Letters in Dynamic Systems and Control
Vehicle Dynamics and Control Systems
article

Effect of Initial Perturbations on Stability of Autonomous Bicycle—A Graphical Approach

article en

Abstract

Abstract The present article attempts to perform a quasi-dynamic analysis of bicycle stability from the viewpoint of initial perturbations and understand the stable and unstable behaviors. Like earlier researchers, the bicycle is idealized as four interconnected bodies—the front wheel, the front fork, the main body, and the rear wheel joined by revolute joints. The forces on the bicycle are limited to their weights, centrifugal forces, and gyroscopic moments. The two primary degrees-of-freedom analyzed are the bicycle lean (tilt) angle and the steering angle of the front wheel. A systematic matlab simulation analysis illustrates the results through trajectories, phase plots, and moment contours. This graphical approach helps to identify the effect of small but finite initial perturbations on the stability, offering intuitive insights into the nonlinear dynamics governing self-stability.

ASME Letters in Dynamic Systems and ControlVol. 6(2)
Indian Institute of Technology Indore (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 51%
Vehicle Dynamics and Control Systems
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