Locomotion Optimization of a Tendon-Driven Robotic Fish With Variable Passive Tail Fin

Abstract

This paper explores a set of locomotion optimization methods for a novel tendon-driven robotic fish. With the typical features of the dual tendon driving active tail and variable stiffness passive caudal fin, a fully functioning tendon-drive robotic fish is developed. Next, a practical dynamic model for the tendon-driven robotic fish is established with full consideration of variable stiffness passive caudal fin, and the model parameters are accurately identified via data-driven methods. More importantly, to improve the motion performances, an asymmetric central pattern generator (CPG) is particularly proposed, and an adjustment rule of passive stiffness is explored to fit different motion states of the robotic fish. Finally, extensive simulations and aquatic experiments verify the feasibility of the proposed prototype and locomotion optimization methods. The obtained results show that the improvements of steering radius and forward swimming velocity are 36.3&#x0025; and 29&#x0025;, respectively. At present, our robotic fish can achieve maximum forward swimming as 1.04 BL/s (BL for the Body Length), maximum turning rate as 153.3<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>/s, and the minimum turning radius reaches to 0.31 BL, providing a valuable reference for bio-inspired research of aquatic mechanical design and locomotion control.