Self-Stabilization Mechanism Analysis of Bicycle Nonholonomic System

• 主讲人：Xuefeng Wang (Peking University)
• 举办方： Beijing-Moscow Mathematics Colloquium
• 时间： 2024-04-26 16:00 - 2024-04-26 17:00
• 地点： online

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Abstract: A bicycle is a typical nonholonomic system, and the nonholonomic constraints attribute to different non-straightforward dynamic phenomena to the bicycle. Self-stabilization, i.e., the bicycle can move in balance without external assistance, is an interesting phenomenon, yet its mechanism is unclear due to complex interactions of the constrained bicycle multibody dynamics. We study the self-stabilization from two aspects: stability analysis and mechanism analysis. In the stability analysis, by the physical understanding of the bicycle system, we establish a dimension-reduction method to calculate the nontrivial equilibria of the highly nonlinear and high-dimensional differential algebraic equations (DAEs). Furthermore, we propose an implementable procedure to conduct stability analysis of the equilibria, where linearization of the DAEs is performed first and then the dimensionality reduction is followed. In the mechanism analysis, we obtain a reduced bicycle dynamic model based on the geometric symmetries and cyclic coordinates, which theoretically transforms the complex DAEs to a clear model structure without constraints. Based on the reduced model structure, we develop a bicycle surrogate model and establish comprehensive and quantitative understanding of the self-stabilization mechanism. The analysis shows that the nonholonomic constraints play important roles by providing anti-falling torques, equivalent stiffness and damping factors in the stabilization of the bicycle system.

 

Bio:  Xuefeng Wang is an Assistant Professor at College of Engineering, Peking University. He received the Ph.D. degree from University of Maryland, Baltimore County, USA, in 2017. He received the first prize of the paper competition in ASME and best paper award in IEEE conferences. His research interests are exoskeleton robots, surgical robots, unmanned vehicles, multibody dynamics and Control.