Literature DB >> 15462446

Development of a biomimetic robotic fish and its control algorithm.

Junzhi Yu1, Min Tan, Shuo Wang, Erkui Chen.   

Abstract

This paper is concerned with the design of a robotic fish and its motion control algorithms. A radio-controlled, four-link biomimetic robotic fish is developed using a flexible posterior body and an oscillating foil as a propeller. The swimming speed of the robotic fish is adjusted by modulating joint's oscillating frequency, and its orientation is tuned by different joint's deflections. Since the motion control of a robotic fish involves both hydrodynamics of the fluid environment and dynamics of the robot, it is very difficult to establish a precise mathematical model employing purely analytical methods. Therefore, the fish's motion control task is decomposed into two control systems. The online speed control implements a hybrid control strategy and a proportional-integral-derivative (PID) control algorithm. The orientation control system is based on a fuzzy logic controller. In our experiments, a point-to-point (PTP) control algorithm is implemented and an overhead vision system is adopted to provide real-time visual feedback. The experimental results confirm the effectiveness of the proposed algorithms.

Entities:  

Mesh:

Year:  2004        PMID: 15462446     DOI: 10.1109/tsmcb.2004.831151

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  6 in total

Review 1.  Biomimetics and the case of the remarkable ragworms.

Authors:  Thomas Hesselberg
Journal:  Naturwissenschaften       Date:  2007-01-11

2.  Design and control of an embedded vision guided robotic fish with multiple control surfaces.

Authors:  Junzhi Yu; Kai Wang; Min Tan; Jianwei Zhang
Journal:  ScientificWorldJournal       Date:  2014-01-29

Review 3.  A review on robotic fish enabled by ionic polymer-metal composite artificial muscles.

Authors:  Zheng Chen
Journal:  Robotics Biomim       Date:  2017-12-16

4.  Integrating Brain and Biomechanical Models-A New Paradigm for Understanding Neuro-muscular Control.

Authors:  Sebastian S James; Chris Papapavlou; Alexander Blenkinsop; Alexander J Cope; Sean R Anderson; Konstantinos Moustakas; Kevin N Gurney
Journal:  Front Neurosci       Date:  2018-02-06       Impact factor: 4.677

5.  Design, Modeling, and Visual Learning-Based Control of Soft Robotic Fish Driven by Super-Coiled Polymers.

Authors:  Sunil Kumar Rajendran; Feitian Zhang
Journal:  Front Robot AI       Date:  2022-03-04

6.  Using a robotic fish to investigate individual differences in social responsiveness in the guppy.

Authors:  David Bierbach; Tim Landgraf; Pawel Romanczuk; Juliane Lukas; Hai Nguyen; Max Wolf; Jens Krause
Journal:  R Soc Open Sci       Date:  2018-08-08       Impact factor: 2.963

  6 in total

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