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Swimming locomotion modeling for biomimetic underwater vehicle with two undulating long-fins

Published online by Cambridge University Press:  01 November 2011

Liuji Shang ,
Shuo Wang ,
Min Tan  and
Long Cheng
Liuji Shang
Affiliation:
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
Shuo Wang*
Affiliation:
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
Min Tan
Affiliation:
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
Long Cheng
Affiliation:
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing 100190, China
*
*Corresponding author. E-mail: shuo.wang@ia.ac.cn
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Summary

A biomimetic underwater vehicle, which is propelled by two undulating long-fins, is introduced in this paper. The undulating or oscillating movements of symmetrical long-fins cause the complex locomotion of biomimetic underwater vehicle. For convenience, three motion modes are proposed and considered firstly. Then an inertial unit is installed for collection of accelerations and angular velocity. The underwater vehicle's MIMO model is reduced into a SISO model by some simplifications. A sine wave function deduced from the long-fin's time-varying membrane is proposed and used as the input of the biomimetic underwater vehicle ARMA model, and velocity or angular velocity is considered as the model output. The algorithms based on recursive weighted least squares are applied for model parameter identification. Experiments carried out with a long-fin propelled underwater vehicle. The experimental results show that the proposed methods can build valid locomotion models for three motion modes efficiently.

Keywords

Biomimetic underwater vehicleRecursive weighted least squaresModelingParameter identification

Information

Type
Articles
Information
Robotica , Volume 30 , Issue 6 , October 2012 , pp. 913 - 923
Copyright
Copyright © Cambridge University Press 2011

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References

1.Drucker, G. and Lauder, G. V., “Locomotor function of the dorsal fin in rainbow trout: Kinematics patterns and hydrodynamic forces,” J. Exp. Biol. 208, 4479–4494 (2005).CrossRefGoogle ScholarPubMed
2.Lauder, G. V. and Tytell, E. D., “Hydrodynamics of undulatory propulsion,” Fish Biomech. 23, 425–468 (2006).CrossRefGoogle Scholar
3.Toda, Y., Sogihara, N., Sanada, Y. and Danno, M., “The Motion of a Fish-Like Under-Water Vehicle with Two Undulating Side Fins,” Proceedings of the International Symposium on Aero Aqua Bio-Mechanisms (July 2006).Google Scholar
4.Webb, P. W., The Biology of Fish Swimming (Cambridge University Press, Cambridge, UK, 1994).CrossRefGoogle Scholar
5.Hu, T., Shen, L. C., Lin, L. and Hu, H., “Biological inspirations, kinematics modeling, mechanism design and experiments on an undulating robotic fin inspired by Gymnarchus niloticus,” Mech. Mach. Theory 44, 633–645 (2009).CrossRefGoogle Scholar
6.Lighthill, M. J. and Blake, R. W., “Biofluid dynamics of balistiform and gymnotiform locomotion. Part 1. Biological background, and analysis by elongated-body theory,” J. Fluid Mech. 212, 183–207 (1990).CrossRefGoogle Scholar
7.Videler, J. J., Fish Swimming (Chapman and Hall, London, 1993).CrossRefGoogle Scholar
8.Lighthill, M. J., “Note on the swimming of slender sh,” J. Fluid Mech. 9, 305–317 (1960).CrossRefGoogle Scholar
9.Cheng, J. Y. and Blickhan, R., “Note on the calculation of propeller efficiency using elongated body theory,” J. Exp. Biol. 192, 169–177 (1994).CrossRefGoogle ScholarPubMed
10.Blake, R. W., Median and Paired Fin Propulsion, Fish Biomechanics (Praeger, New York, 1983).Google Scholar
11.Wu, T. Y., “Swimming of a waving plate,” J. Fluid Mech. 10, 321–344 (1961).Google Scholar
12.Daniel, T., “Forword flapping flight from flexible fins,” Can. J. Zool. 66, 630–638 (1988).Google Scholar
13.Sfakiotakis, M., Lane, D. M. and Davies, B. C., “An Experimental Undulating-Fin Device Using the Parallel Bellows Actuator,” In: Proceedings of the International Conference Robotics and Automation (ICRA 2003), vol. 3 (2003) pp. 2356–2362.Google Scholar
14.Epstein, M., Colgate, J. E. and MacIver, M. A., “Generating Thrust with a Biologically Inspired Robotic Ribbon Fin,” In: Proceedings of the IEEE/RSJ International Intelligent Robots and Systems, Piscataway, NJ (Oct. 9–15, 2006) pp. 2412–2417.Google Scholar
15.Yasuyuki, T., Hirofumi, I. and Naoto, S., “The Motion of a Fish-Like Underwater Vehicle with Two Undulating Side Fins,” Proceedings of the 3rd International Symposium on Aero Aqua Bio-Mechanisms (2006).Google Scholar
16.Zhou, C. and Low, K. H., “Kinematic Modeling Framework for Biomimetic Undulatory Fin Motion Based on Coupled Nonlinear Oscillators,” In: Proceedings of the IEEE/RSJ International Intelligent Robots and Systems, Tianjin, China (Oct. 18–22, 2010) pp. 934–939.Google Scholar
17.Jennie, C., Eva, K. and Scott, K., “Source seeking for two nonholonomic models of fish locomotion,” IEEE Trans. Robotics 25, 1166–1176 (2009).Google Scholar
18.Yu, J. Z., Liu, L. Z. and Wang, L., “Dynamic Modeling and Experimental Validation of Biomimetic Robotic Fish,” In: Proceedings of the American Control Conference, Minneapolis, MN, USA (Jun. 14–16, 2006) pp. 4129–4134.Google Scholar
19.Low, K. H. and Willy, A., “Biomimetic motion planning of an undulating robotic fish fin,” J. Vib. Control 12, 1337–1359 (2006).CrossRefGoogle Scholar
20.MacIver, M. A., Fontaine, E. and Burdick, J. W., “Designing future underwater vehicles: Principles and mechanisms of the weakly electric fish,” J. Oceanic Eng. 29, 651–659 (2004).CrossRefGoogle Scholar
21.Chen, Z., Shatara, S. and Tan, X. B., “Modeling of biomimetic robotic fish propelled by an ionic polymer-metal composite caudal fin,” IEEE Trans. Mechatronics 15 (3), 448–459 (2009).Google Scholar
22.Zhang, Z. G., “Modeling and System Identification of Three-layer Structure Electrostatic Film Motors for a Robotic Fish,” In: Proceedings of the IEEE International Conference Mechatronics and Automation, Changchun, China (Aug. 9–12, 2009) pp. 2729–2734.Google Scholar
23.Transeth, A. A., Pettersen, K. Y. and Liljeback, P., “A survey on snake robot modeling and locomotion,” J. Robotica 27, 999–1015 (2009).CrossRefGoogle Scholar
24.Cheng, J. Y., Zhuang, L. X. and Tong, B. G., “Analysis of swimming 3D waving plate,” J. Fluid Mech. 232, 341–355 (1991).CrossRefGoogle Scholar
25.Rosenberger, L. J. and Westneat, M. W., “Functional morphology of undulatory pectoral fin locomotion in the stingray taeniura lymma (chondrichthyes: dasyatidae),” J. Exp. Biol. 202, 3523–3539 (1999).CrossRefGoogle ScholarPubMed
26.Shang, L. J., Wang, S. and Tan, M., “Motion Control for an Underwater Robotic Fish with Two Undulating Long-Fins,” In: Proceedings of the Joint 48th IEEE. Conference Decision and Control and 28th Chinese Control Conference, Shanghai, China (Dec. 16–18, 2009) pp. 6478–6483.Google Scholar
27.Colgate, J. E. and Lynch, K. M., “Mechanics and control of swimming: A review,” IEEE J. Oceanic Eng. 29, 660–673 (2004).CrossRefGoogle Scholar
28.Kelouwani, S. and Agbossou, K., “Nonlinear model identification of wind turbine with a neural network,” IEEE Trans. Energy Convers. 19, 607–612 (2004).CrossRefGoogle Scholar