Title

Cooperative Optimal Collision Avoidance Laws for a Hybrid-Tailed Robotic Fish

Document Type

Article

Publication Date

7-1-2020

Department

Marine Science

School

Ocean Science and Engineering

Abstract

© 1993-2012 IEEE. This brief addresses the problem of collision avoidance by robotic fish that have a single caudal fin. The fish is hybrid-tailed in that the caudal fin is driven by a double-jointed mechanism. One joint is driven by a servomotor and the second joint is driven by an ionic polymer-metal composite (IPMC) actuator, which is often called an artificial muscle. For this type of robotic fish, collision avoidance is performed by employing a collision cone approach. Within the framework of the collision cone approach, Lyapunov-based methods are employed to determine analytical expressions of nonlinear guidance laws with which cooperative collision avoidance can be achieved. It is shown how these cooperative collision avoidance laws can be made optimal in the sense of minimizing an energy-like performance index. The conditions under which the developed guidance laws are robust to sensor measurement errors are determined. Simulations and experiments are performed to validate the guidance laws.

Publication Title

IEEE Transactions on Control Systems Technology

Volume

28

Issue

4

First Page

1569

Last Page

1578

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