scholarly journals Bio-inspired Robotic Fish with Multiple Fins

10.5772/6698 ◽  
2009 ◽  
Author(s):  
Parasar Kodati ◽  
Xinyan Deng
Keyword(s):  
Robotic Fish

Control and Implementation of S-start for a Multijoint Biomimetic Robotic Fish

2013 ◽  
Vol 39 (11) ◽  
pp. 1914 ◽  
Author(s):  
Zheng-Xing WU ◽  
Jun-Zhi YU ◽  
Zong-Shuai SU ◽  
Min TAN
Keyword(s):  
Robotic Fish ◽  
Biomimetic Robotic Fish

New designs of fin type propulsive devices of robotic fish

2011 ◽  
Author(s):  
Janis Viba ◽  
Vitaly Beresnevich ◽  
Semyon Tsyfansky ◽  
Maarja Kruusmaa ◽  
Jean-Guy Fontaine ◽  
...  
Keyword(s):  
Robotic Fish

Fast-moving piezoelectric micro-robotic fish with double caudal fins

2021 ◽  
Vol 140 ◽  
pp. 103733
Author(s):  
Quanliang Zhao ◽  
Shiqi Liu ◽  
Jinghao Chen ◽  
Guangping He ◽  
Jiejian Di ◽  
...  
Keyword(s):  
Fast Moving ◽  
Robotic Fish

Optimal design and motion control of biomimetic robotic fish

2008 ◽  
Vol 51 (5) ◽  
pp. 535-549 ◽  
Author(s):  
JunZhi Yu ◽  
Long Wang ◽  
Wei Zhao ◽  
Min Tan
Keyword(s):  
Optimal Design ◽  
Motion Control ◽  
Robotic Fish ◽  
Biomimetic Robotic Fish

Biomimetic Stingray-like Robotic Fish with Propulsors Based on IPMC Actuators

2021 ◽  
Author(s):  
Alexandr M. Karelin ◽  
Yuriy D. Orekhov ◽  
Ivan K. Khmelnitskiy ◽  
Vagarshak M. Aivazyan ◽  
Dmitriy O. Testov
Keyword(s):  
Robotic Fish

scholarly journals Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

2021 ◽  
Vol 9 (5) ◽  
pp. 478
Author(s):  
Hao Chen ◽  
Weikun Li ◽  
Weicheng Cui ◽  
Ping Yang ◽  
Linke Chen
Keyword(s):  
Design Optimization ◽  
Optimization Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Robotic Fish ◽  
Multidisciplinary Design ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cfd Method ◽  
The Individual

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.

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