Design and multi parameter performance optimization of the bionic robotic fish driven by tail fin

• Published in: Ocean engineering 2024-12, Vol.313, p.119349, Article 119349
• Main Authors: Tang, Wei, Yu, Zhenping, Wang, Yunfei, Chen, Peizheng, Liu, Houde, Wang, Xueqian, Wang, Xiaohao, Qu, Juntian
• Format: Article
• Language: English
• Subjects: Flexible material; Motion optimization; Propulsion mechanism; PSO; Robotic fish
• ISSN: 0029-8018
• DOI: 10.1016/j.oceaneng.2024.119349

In this paper, we investigate the optimization of body contour parameters and the parameters of the tail fin in bionic robotic fish. A new type of robotic fish with fully flexible shell was proposed, followed by the analysis and optimization of the resistance properties of the profile. Subsequently, a dynamic model considering tail fin deformation was established. We use a combination of Fluent simulation and particle swarm optimization (PSO) algorithm to seek the key parameters for an enchanced performance. Upon multi-parameter performance optimization, the obtained results indicate that the fully flexible shell robotic fish can achieve a high swimming speed of 0.69 m/s (equivalent to 1.2 BL/s) and exhibit excellent turning maneuverability with a turning radius of 0.8 body lengths. This paper provides insights for optimizing the performance of robotic fish and enhancing its underwater operational capabilities. •The design of a novel robotic fish featuring a fully flexible body shell has been proposed. Which can fully utilize the significant advantages of rigid components’ high driving force and the reduced swimming resistance.•The dynamic model accounts for the self-deformation of the tail fin during swimming, and a simulation model incorporating tail fin deformation has been established.•By optimizing various parameters of the fish body and tail fin, the swimming performance of the robotic fish has been significantly enhanced.