DocumentCode
2899274
Title
Dynamic modeling and gait analysis of batoid swimming
Author
Xinmin Liu ; Iwasaki, Takuya ; Fish, F.
Author_Institution
Mech. & Aerosp. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
566
Lastpage
571
Abstract
This paper develops a dynamic model of batoid swimming for the purpose of gait analysis and feedback control design for robotic underwater vehicles. A general framework is first laid out for modeling of multi-body mechanical systems placed in an environment. The class of systems is supposed to capture dynamics of animal locomotion or mobile robots inspired by biology. The underlying mechanism of propulsion is to gain thrust from the environmental forces through periodic body movements. The framework is then applied to modeling of batoids that swim by flapping their wings. The body geometry and stiffness of the model are fixed using experimental measurements from an Atlantic ray and cownose ray. Periodic movements (gaits), that minimize the power consumption while maintaining a given swim speed, are determined from an optimal gait theory. Consistently with biological observations, it is found that an undulatory gait is optimal for the Atlantic ray with oval wings, and an oscillatory gait is optimal for the cownose ray with triangular wings.
Keywords
autonomous underwater vehicles; control system synthesis; elasticity; feedback; marine propulsion; mobile robots; power consumption; robot dynamics; Atlantic ray; animal locomotion; batoid swimming dynamic model; biological observations; body geometry; cownose ray; dynamic modeling; environmental forces; experimental measurements; feedback control design; flapping wings; gait analysis; mobile robots; model stiffness; multibody mechanical system modeling; optimal gait theory; periodic body movements; power consumption; propulsion mechanism; robotic underwater vehicles; triangular wings; Analytical models; Biological system modeling; Computational modeling; Force; Mathematical model; Shape; Biological system model; Locomotion; Optimal gait; Robotic vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6579897
Filename
6579897
Link To Document