LE QUY DON
Technical University
VietnameseClear Cookie - decide language by browser settings

Theoretical Model for Dynamic Analysis of Soft Eel Robot's Underwater Motions Based on Mechanics of Multibody System

Trinh, H.X. and Kien, H.T. and Phung, V.B. and Nguyen, D.Q. (2023) Theoretical Model for Dynamic Analysis of Soft Eel Robot's Underwater Motions Based on Mechanics of Multibody System. In: UNSPECIFIED.

Full text not available from this repository. (Upload)

Abstract

Soft robotics has posed unique challenges in dynamic analysis and motion control, particularly in contrast to conventional rigid robots. This paper introduces a theoretical approach for evaluating the dynamic behavior of an underwater soft eel robot - our previous soft robot design. Based on the concept of a pseudo-rigid-body model, we propose an equivalent dynamic model for the eel robot, converting its flexible body into an assembly of traditional rigid links and joints. Subsequently, utilizing the mechanics of multibody system dynamics, we derive explicit dynamic equations governing the underwater locomotion of the eel robot. The configuration parameters and external forces of the dynamic model are determined. Then the dynamic equations are solved with different scenarios to explore the effect of pneumatic pressure frequency and amplitude on the robot's dynamic response. The theoretical calculations are compared with preliminary experimental results, demonstrating the robustness and reliability of the proposed dynamic model. This dynamic model is expected to become a valuable approach for the analysis and control of soft eel robots and diverse soft robotic systems. © 2023 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1109/ICCAIS59597.2023.10382311
Uncontrolled Keywords: Dynamics; Machine design; Robots, Dynamic behaviors; Dynamic motions; Dynamics analysis; Dynamics equation; Dynamics models; Multibody system; Rigid robots; Soft robotics; Theoretical approach; Theoretical modeling, Dynamic models
Additional Information: cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337
URI: http://eprints.lqdtu.edu.vn/id/eprint/11103

Actions (login required)

View Item
View Item