Complex Modal Characteristic Analysis of a Tensegrity Robotic Fish's Body Waves.

Bingxing Chen, Jie Zhang, Qiuxu Meng, Hui Dong, Hongzhou Jiang
Author Information
  1. Bingxing Chen: School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China. ORCID
  2. Jie Zhang: School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
  3. Qiuxu Meng: School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
  4. Hui Dong: School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China. ORCID
  5. Hongzhou Jiang: School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

Abstract

A bionic robotic fish based on compliant structure can excite the natural modes of vibration, thereby mimicking the body waves of real fish to generate thrust and realize undulate propulsion. The fish body wave is a result of the fish body's mechanical characteristics interacting with the surrounding fluid. Thoroughly analyzing the complex modal characteristics in such robotic fish contributes to a better understanding of the locomotion behavior, consequently enhancing the swimming performance. Therefore, the complex orthogonal decomposition (COD) method is used in this article. The traveling index is used to quantitatively describe the difference between the real and imaginary modes of the fish body wave. It is defined as the reciprocal of the condition number between the real and imaginary components. After introducing the BCF (body and/or caudal fin) the fish's body wave curves and the COD method, the structural design and parameter configuration of the tensegrity robotic fish are introduced. The complex modal characteristics of the tensegrity robotic fish and real fish are analyzed. The results show that their traveling indexes are close, with two similar complex mode shapes. Subsequently, the relationship between the traveling index and swimming performance is expressed using indicators reflecting linear correlation (correlation coefficient (Rc) and value). Based on this correlation, a preliminary optimization strategy for the traveling index is proposed, with the potential to improve the swimming performance of the robotic fish.

Keywords

References

  1. Bioinspir Biomim. 2012 Jun;7(2):025001 [PMID: 22619181]
  2. Sci Rep. 2023 Sep 12;13(1):15032 [PMID: 37699939]
  3. Soft Robot. 2017 Sep;4(3):202-210 [PMID: 29182079]
  4. Bioinspir Biomim. 2015 Jul 30;10(4):046013 [PMID: 26226349]
  5. Sci Robot. 2021 Aug 11;6(57): [PMID: 34380757]
  6. Bioinspir Biomim. 2020 Dec 09;16(1): [PMID: 33075763]
  7. J Exp Biol. 2013 Dec 15;216(Pt 24):4666-77 [PMID: 24115054]
  8. Soft Robot. 2019 Aug;6(4):520-531 [PMID: 30985267]
  9. Integr Comp Biol. 2010 Dec;50(6):1120-39 [PMID: 21558263]
  10. J Exp Biol. 2008 May;211(Pt 10):1541-58 [PMID: 18456881]
  11. Soft Robot. 2018 Aug;5(4):466-474 [PMID: 29957131]
  12. J Exp Biol. 1995;198(Pt 11):2293-305 [PMID: 9320209]
  13. J Exp Biol. 2023 May 1;226(9): [PMID: 37042277]
  14. Integr Comp Biol. 2018 Nov 1;58(5):860-873 [PMID: 29873726]
  15. Ann Rev Mar Sci. 2015;7:521-45 [PMID: 25251278]
  16. Sci Rep. 2014 Dec 10;4:7329 [PMID: 25491270]
  17. Sci Robot. 2019 Sep 18;4(34): [PMID: 33137777]
  18. J Exp Biol. 2004 May;207(Pt 11):1825-41 [PMID: 15107438]
  19. Bioinspir Biomim. 2021 Mar 05;16(2): [PMID: 32927442]
  20. Proc Natl Acad Sci U S A. 2010 Nov 16;107(46):19832-7 [PMID: 21037110]
  21. Bioinspir Biomim. 2016 Apr 13;11(3):031001 [PMID: 27073001]
  22. J Fish Biol. 2009 Aug;75(3):591-617 [PMID: 20738559]
  23. J Exp Biol. 2007 Aug;210(Pt 16):2767-80 [PMID: 17690224]
  24. J Exp Biol. 2002 Jul;205(Pt 14):2125-34 [PMID: 12089216]
  25. J Exp Biol. 2001 Aug;204(Pt 16):2751-62 [PMID: 11683431]
  26. Nat Commun. 2016 Mar 24;7:11044 [PMID: 27009352]
  27. Proc Natl Acad Sci U S A. 2021 Dec 7;118(49): [PMID: 34853171]
  28. Biomimetics (Basel). 2023 Jun 16;8(2): [PMID: 37366858]
  29. Sci Adv. 2017 Apr 05;3(4):e1602045 [PMID: 28435879]
  30. Soft Robot. 2022 Aug;9(4):639-656 [PMID: 34705572]
  31. Biomimetics (Basel). 2022 Nov 03;7(4): [PMID: 36412715]
  32. Zoology (Jena). 2014 Feb;117(1):48-56 [PMID: 24433627]

Grants

  1. 52205303/National Natural Science Foundation of China
  2. 62173093/National Natural Science Foundation of China
  3. 2023J01056/General Program of Fujian Provincial Science and Technology Department
  4. 2020J01456/General Program of Fujian Provincial Science and Technology Department

Word Cloud

Created with Highcharts 10.0.0fishroboticbodycomplextravelingrealwaveindextensegritycharacteristicsswimmingperformancemethodcorrelationstructuremodesmodalorthogonaldecompositionCODusedimaginarybionicbasedcompliantcanexcitenaturalvibrationtherebymimickingwavesgeneratethrustrealizeundulatepropulsionresultbody'smechanicalinteractingsurroundingfluidThoroughlyanalyzingcontributesbetterunderstandinglocomotionbehaviorconsequentlyenhancingThereforearticlequantitativelydescribedifferencedefinedreciprocalconditionnumbercomponentsintroducingBCFand/orcaudalfinfish'scurvesstructuraldesignparameterconfigurationintroducedanalyzedresultsshowindexesclosetwosimilarmodeshapesSubsequentlyrelationshipexpressedusingindicatorsreflectinglinearcoefficientRcvalueBasedpreliminaryoptimizationstrategyproposedpotentialimproveComplexModalCharacteristicAnalysisTensegrityRoboticFish'sBodyWaves

Similar Articles

Cited By