Side Fins Performance in Biomimetic Unmanned Underwater Vehicle

Piskur, Paweł

doi:10.3390/en15165783

Cited by 15 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particle Image Velocimetry (PIV) is widely used in the analysis of fluid dynamics [45] and fluid-structure interactions [46]. It is a non-intrusive optical method used for the experimental calculation of fluid in a region of interest.…”

Section: Particle Image Velocimetrymentioning

confidence: 99%

Aerodynamic Analysis of Variable Camber-Morphing Airfoils with Substantial Camber Deflections

Marciniuk,

Piskur,

Kiszkowiak

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

In recent years, morphing wings have become not only a concept, but an aerodynamic solution for the aviation industry to take a step forward toward future technologies. However, continuously morphing airfoils became an interesting answer to provide green energy solutions. In this paper, the authors conducted experimental research on a continuously camber-morphing airfoil using the Particle Image Velocimetry (PIV) and Computational Fluid Dynamics (CFD) methods. The main objective of this work was to research a variety of morphing airfoils with different camber deflections. An average velocity distribution and turbulence distribution were compared and are discussed. The two-dimensional PIV results were compared to the CFD simulations to validate the numerical method’s accuracy and obtain the aerodynamic coefficient’s trends. A further comparison revealed that morphing airfoils have better aerodynamic performance than conventional airfoils for very low camber deflections and create substantial amounts of drag for significant camber deflections.

show abstract

Section: Particle Image Velocimetrymentioning

confidence: 99%

Aerodynamic Analysis of Variable Camber-Morphing Airfoils with Substantial Camber Deflections

Marciniuk,

Piskur,

Kiszkowiak

et al. 2024

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…The last crucial part of the simulation was to add hydrodynamic forces. Measurements of force generated by fins were described in [17]. Modelling forces affecting the BUUV were visualized in Fig.…”

Section: Description Of Buuv's Model In Simscape Multibodymentioning

confidence: 99%

Design, Modelling, And Simulation Of Biomimetic Underwater Vehicle

Piskur¹,

Larzewski²,

Kot³

et al. 2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

View full text Add to dashboard Cite

This paper discusses mathematical model implementations and simulation in various software environments for Unmanned Underwater Vehicles (UUVs), especially biomimetic ones. Gaining accurate simulation models of UUVs is challenging due to many nonlinear phenomena that need to be analysed. Further, the sensors’ accuracy and disturbances made by the natural water environment are difficult to predict during the simulation. On the other hand, an accurate simulation model is needed during new algorithm tests provided for increased vehicle autonomy. As a result, mathematical models and their implementation into different software are analysed and discussed in this paper. The model based on nonlinear differential equations is compared to an object-oriented, physical model based on Matlab Simscape Multibody.

show abstract

“…Many organisms on Earth have evolved over eons of evolution, and harsh natural selection has given them many superb navigational abilities [7,8]. Some organisms can rely on polarized information to determine their posture and position.…”

Section: Introductionmentioning

confidence: 99%

The Polarized Light Field Enables Underwater Unmanned Vehicle Bionic Autonomous Navigation and Automatic Control

Cheng

Chen

Zeng

et al. 2023

JMSE

View full text Add to dashboard Cite

In response to the critical need for autonomous navigation capabilities of underwater vehicles independent of satellites, this paper studies a novel navigation and control method based on underwater polarization patterns. We propose an underwater course angle measurement algorithm and develop underwater polarization detection equipment. By establishing the automatic control model of an ROV (Remote Operated Vehicle) with polarization information, we develop a strapdown navigation method combining polarization and inertial information. We verify the feasibility of angle measurement based on polarization in the water tank. The measurement accuracy of polarization azimuth is less than 0.69°. Next, we conduct ROV navigation at different water depths in a real underwater environment. At a depth of 5 m, the MSE (Mean Square Error) and SD (Standard Deviation) of angle error are 16.57° and 4.07°, respectively. Underwater navigation accuracy of traveling 100 m is better than 5 m within a depth of 5 m. Key technologies such as underwater polarization detection, multi-source information fusion, and the ROV automatic control model with polarization have been broken through. This method can effectively improve ROV underwater work efficiency and accuracy.

show abstract

Side Fins Performance in Biomimetic Unmanned Underwater Vehicle

Cited by 15 publications

References 42 publications

Aerodynamic Analysis of Variable Camber-Morphing Airfoils with Substantial Camber Deflections

Aerodynamic Analysis of Variable Camber-Morphing Airfoils with Substantial Camber Deflections

Design, Modelling, And Simulation Of Biomimetic Underwater Vehicle

The Polarized Light Field Enables Underwater Unmanned Vehicle Bionic Autonomous Navigation and Automatic Control

Contact Info

Product

Resources

About