Parametric roll oscillations of a hydrodynamic Chaplygin sleigh
June 16, 2023 ยท Declared Dead ยท ๐ Nonlinear dynamics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Kartik Loya, Phanindra Tallapragada
arXiv ID
2307.05491
Category
physics.flu-dyn
Cross-listed
cs.RO,
nlin.CD
Citations
3
Venue
Nonlinear dynamics
Last Checked
1 month ago
Abstract
Biomimetic underwater robots use lateral periodic oscillatory motion to propel forward, which is seen in most fishes known as body caudal fin (BCF) propulsion. The lateral oscillatory motion makes slender-bodied fish-like robots roll unstable. Unlike the case of human-engineered aquatic robots, many species of fish can stabilize their roll motion to perturbations arising from the periodic motions of propulsors. To first understand the origin of the roll instability, the objective of this paper is to analyze the parameters affecting the roll-angle stability of an autonomous fish-like underwater swimmer. Eschewing complex models of fluid-structure interaction, we instead consider the roll motion of a nonholonomic system inspired by the Chaplygin sleigh, whose center of mass is above the ground. In past work, the dynamics of a fish-like periodic swimmer have been shown to be similar to that of a Chaplygin sleigh. The Chaplygin sleigh is propelled by periodic torque in the yaw direction. The roll dynamics of the Chaplygin sleigh are linearized and around a nominal limit cycle solution of the planar hydrodynamic Chaplygin sleigh in the reduced velocity space. It is shown that the roll dynamics are then described as a nonhomogeneous Mathieu equation where the periodic yaw motion provides the parametric excitation. We study the added mass effects on the sleigh's linear dynamics and use the Floquet theory to investigate the roll stability due to parametric excitation. We show that fast motions of the model for swimming are frequently associated with roll instability. The paper thus sheds light on the fundamental mechanics that present trade-offs between speed, efficiency, and stability of motion of fish-like robots.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ physics.flu-dyn
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Efficient collective swimming by harnessing vortices through deep reinforcement learning
R.I.P.
๐ป
Ghosted
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
R.I.P.
๐ป
Ghosted
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D
R.I.P.
๐ป
Ghosted
Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning
R.I.P.
๐ป
Ghosted
From Deep to Physics-Informed Learning of Turbulence: Diagnostics
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted